Process for the thermal cracking treatment of nitrated wastewater

Abstract

The application discloses a nitrification wastewater thermal cracking treatment process, comprising the following steps: obtaining the working condition data of a thermal cracking furnace; monitoring the cracking efficiency of the nitrification wastewater according to the change of the thermal cracking furnace; receiving the thermal cracking qualified signal and the thermal cracking unqualified signal of a monitoring module; obtaining the cracking degree low signal and the cracking furnace temperature fluctuation abnormal signal of an analysis module, judging whether the cracking degree low signal is related to the cracking furnace temperature fluctuation abnormal signal, obtaining the related signal and the unrelated signal of a judging module, adjusting the heating frequency of the thermal cracking furnace when the related signal is received, and ensuring the stability of the heating frequency; when the unrelated signal is received, the thermal cracking process is investigated; the application realizes real-time monitoring on the nitrification wastewater thermal cracking treatment process, and ensures the cracking efficiency.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment technology, specifically to a thermal pyrolysis treatment process for nitrified wastewater. Background Technology

[0002] The production of nitrochlorobenzene generates organic wastewater containing nitrates and phenols. This wastewater is highly toxic to organisms and difficult to treat. It is necessary to remove the nitro and hydroxyl groups from the organic wastewater before it can enter the biodegradation device.

[0003] In existing technologies, when treating nitrified wastewater through thermal pyrolysis, the wastewater is typically heated by a heater and then enters a pyrolysis reactor for a period of time. After pyrolysis, a small amount of nitrate- and phenolic compounds in the wastewater are broken down into linear organic compounds with lower biotoxicity. The wastewater after high-temperature pyrolysis is then cooled before entering subsequent wastewater treatment processes. However, this approach cannot effectively monitor the thermal pyrolysis process, determine the degree of pyrolysis treatment, or ensure that the wastewater is treated to the required standard. The wastewater must be collected after pyrolysis and then sampled to assess its quality, resulting in a problem of untimely treatment. Summary of the Invention

[0004] The purpose of this invention is to solve the problem of not being able to effectively monitor the thermal pyrolysis process, determine the degree of pyrolysis, and ensure that the wastewater is treated to meet standards. It is necessary to collect the wastewater after pyrolysis and then take samples to judge the quality, which results in untimely treatment. Therefore, this invention proposes a thermal pyrolysis treatment process for nitrification wastewater.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] The pyrolysis treatment process for nitrification wastewater includes the following steps:

[0007] Step 1: Obtain the operating data of the pyrolysis furnace;

[0008] Step 2: Using the thermal pyrolysis reaction time as the data acquisition time point, obtain the real-time feed flow rate Lj and the flow rate Ll of the pyrolysis products;

[0009] According to the formula The pyrolysis coefficient Xl of the nitrified wastewater was calculated; where, This is the error correction factor;

[0010] The cracking coefficient Xl of the nitrified wastewater is compared with the cracking coefficient threshold of the nitrified wastewater.

[0011] Step 3: Obtain the N2 content Ln, CO2 content Lc, and H2O content Lh of the pyrolysis products;

[0012] The total content of pyrolysis products ZC is calculated using the formula ZC=a1*Ln+a2*Lc+a3*Lh; a1 and a2 are weighting coefficients.

[0013] The total content value ZC of pyrolysis products is compared with the total threshold of pyrolysis product content:

[0014] Step 4: Construct a rectangular coordinate system with the pyrolysis temperature difference Tlc as the X-axis and the total content of pyrolysis products ZC as the Y-axis. Substitute the real-time total content of pyrolysis products ZC and the pyrolysis temperature difference Tlc into the rectangular coordinate system and plot the online curve.

[0015] Obtain the standard curvature value of the online curve and label it Zq; compare the standard curvature value Zq with the standard curvature threshold.

[0016] As a further aspect of the present invention, the operating data includes feed flow rate, flow rate of pyrolysis products, component content, and temperature of the pyrolysis furnace.

[0017] As a further aspect of the present invention: if the cracking coefficient Xl of the nitrification wastewater is greater than the cracking coefficient threshold of the nitrification wastewater, a thermal cracking qualified signal is generated.

[0018] If the cracking coefficient Xl of the nitrified wastewater is less than the cracking coefficient threshold of the nitrified wastewater, a thermal cracking failure signal is generated.

[0019] As a further aspect of the present invention: if the total content of pyrolysis products ZC is greater than the total content threshold of pyrolysis products, a high degree of pyrolysis signal is generated;

[0020] If the total content of pyrolysis products ZC is less than the total threshold of pyrolysis products, a low degree of pyrolysis signal is generated.

[0021] As a further aspect of the present invention, step 3 also includes the following:

[0022] The temperature Tl of the pyrolysis furnace is obtained, and a set of pyrolysis temperature values ​​A{Tl1, Tl2, ..., Tlm} is constructed; the average value is taken to obtain the average pyrolysis temperature Tlp.

[0023] The average pyrolysis temperature Tlp is subtracted from the process standard pyrolysis temperature TB to obtain the pyrolysis temperature difference Tlc;

[0024] The obtained pyrolysis temperature difference value Tlc is compared with the pyrolysis temperature difference threshold.

[0025] As a further aspect of the present invention: if the pyrolysis temperature difference Tlc is greater than the pyrolysis temperature difference threshold, an abnormal temperature fluctuation signal of the pyrolysis furnace is generated.

[0026] If the pyrolysis temperature difference Tlc is greater than the pyrolysis temperature difference threshold, a normal signal for temperature fluctuation in the pyrolysis furnace is generated.

[0027] As a further aspect of the present invention: if the standard curvature value Zq is greater than the standard curvature threshold, a correlation signal is generated;

[0028] If the standard curvature value Zq is less than the standard curvature threshold, an uncorrelated signal is generated.

[0029] As a further aspect of the present invention, it also includes the following steps:

[0030] When a relevant signal is received, the heating frequency of the pyrolysis furnace is adjusted to ensure the stability of the heating frequency.

[0031] When an irrelevant signal is received, the pyrolysis process is investigated.

[0032] The beneficial effects of this invention are:

[0033] The nitrification wastewater pyrolysis treatment process of this invention analyzes the degree of pyrolysis of nitrification wastewater and whether it is fully pyrolyzed using operating data such as feed flow rate, pyrolysis product flow rate, component content, and temperature composition of the pyrolysis furnace. It also analyzes the influence of the pyrolysis furnace temperature on the degree of pyrolysis, thereby enabling real-time monitoring of the nitrification wastewater pyrolysis treatment process and ensuring the efficiency of pyrolysis. Attached Figure Description

[0034] The invention will now be further described with reference to the accompanying drawings.

[0035] Figure 1 This is a system block diagram of the present invention;

[0036] Figure 2 This is a process flow diagram of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Example 1

[0039] Please see Figure 1 As shown, the present invention is a pyrolysis treatment system for nitrification wastewater, comprising:

[0040] The data acquisition module obtains the operating data of the pyrolysis furnace, including the feed flow rate, the flow rate and composition content of the pyrolysis products, and the temperature of the pyrolysis furnace.

[0041] The components of the pyrolysis products include N2 and CO2; the feed flow rate is labeled Lj, the flow rate of the pyrolysis products is labeled Ll, the N2 content of the pyrolysis products is labeled Ln, the CO2 content of the pyrolysis products is labeled Lc, and the H2O content of the pyrolysis products is labeled Lh; the temperature of the pyrolysis furnace is labeled Tl.

[0042] The monitoring module acquires the feed flow rate Lj and the flow rate Ll of the pyrolysis products, and determines the efficiency of nitrification wastewater pyrolysis based on the changes in the feed and output of the pyrolysis furnace.

[0043] The specific working process of this monitoring module is as follows:

[0044] Step 1: Using the thermal pyrolysis reaction time as the data acquisition time point, obtain the real-time feed flow rate Lj and the flow rate Ll of the pyrolysis products;

[0045] Step 2: According to the formula The pyrolysis coefficient Xl of the nitrified wastewater was calculated; where, This is the error correction factor, with a value of 0.538;

[0046] Step 3: Compare the obtained cracking coefficient Xl of nitrified wastewater with the cracking coefficient threshold of nitrified wastewater;

[0047] If the cracking coefficient Xl of the nitrified wastewater is greater than the cracking coefficient threshold of the nitrified wastewater, it indicates that the nitrified wastewater in the pyrolysis furnace is fully pyrolyzed, the removal rate of nitro groups and phenols in the nitrified wastewater is high, and a qualified pyrolysis signal is generated.

[0048] If the cracking coefficient Xl of the nitrified wastewater is less than the cracking coefficient threshold of the nitrified wastewater, it indicates that the pyrolysis of the nitrified wastewater in the pyrolysis furnace is insufficient, the removal rate of nitro groups and phenols in the nitrified wastewater is low, and a pyrolysis failure signal is generated.

[0049] The analysis module receives thermal decomposition pass and fail signals from the monitoring module;

[0050] When a qualified thermal decomposition signal is received, the contents of N2, CO2, and H2O in the decomposition products are obtained. Based on the contents of N2, CO2, and H2O in the decomposition products, the degree of decomposition of nitro groups and aromatic rings in the nitrification wastewater is determined.

[0051] When a pyrolysis failure signal is received, the temperature Tl of the pyrolysis furnace is acquired, and the change in the temperature Tl of the pyrolysis furnace is analyzed.

[0052] The specific working process of this analysis module is as follows:

[0053] Step 1: Obtain the N2 content Ln, CO2 content Lc, and H2O content Lh of the pyrolysis products;

[0054] The weights of the N2 content Ln, CO2 content Lc, and H2O content Lh of the pyrolysis products are assigned, and the weights of the N2 content Ln, CO2 content Lc, and H2O content Lh of the pyrolysis products are assigned as a1 and a2 respectively, where a1+a2=1 and a1>a2.

[0055] The total content of pyrolysis products ZC can be calculated using the formula ZC=a1*Ln+a2*Lc+a3*Lh;

[0056] The total content value ZC of pyrolysis products is compared with the total threshold of pyrolysis product content:

[0057] If the total content of pyrolysis products ZC is greater than the total content threshold of pyrolysis products, it indicates that the degree of nitro and aromatic ring pyrolysis is high, the nitrification wastewater of this batch is well pyrolyzed, and a high degree of pyrolysis signal is generated.

[0058] If the total content of pyrolysis products ZC is less than the total content threshold of pyrolysis products, it indicates that the degree of nitro and aromatic ring pyrolysis is low, the pyrolysis of this batch of nitrified wastewater is poor, and a low degree of pyrolysis signal is generated.

[0059] Step 2: Obtain the temperature Tl of the pyrolysis furnace and construct a set of pyrolysis temperature values ​​A{Tl1, Tl2, ..., Tlm}; take the average value to obtain the average pyrolysis temperature Tlp;

[0060] The average pyrolysis temperature Tlp is subtracted from the process standard pyrolysis temperature TB to obtain the pyrolysis temperature difference Tlc;

[0061] The obtained pyrolysis temperature difference value Tlc is compared with the pyrolysis temperature difference threshold:

[0062] If the pyrolysis temperature difference Tlc is greater than the pyrolysis temperature difference threshold, it indicates that the heating system of the pyrolysis furnace is unstable, and an abnormal temperature fluctuation signal of the pyrolysis furnace is generated.

[0063] If the pyrolysis temperature difference Tlc is greater than the pyrolysis temperature difference threshold, it indicates that the heating system of the pyrolysis furnace is stable, and a normal temperature fluctuation signal for the pyrolysis furnace is generated.

[0064] The judgment module acquires the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace from the analysis module, and determines whether the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace are related.

[0065] The specific working process of this judgment module is as follows:

[0066] Step 1: Obtain the total content of pyrolysis products ZC and the pyrolysis temperature difference Tlc from the analysis module;

[0067] Step 2: Construct a rectangular coordinate system with the pyrolysis temperature difference Tlc as the X-axis and the total content of pyrolysis products ZC as the Y-axis. Substitute the real-time total content of pyrolysis products ZC and the pyrolysis temperature difference Tlc into the rectangular coordinate system and plot the online curve.

[0068] Step 3: Obtain the standard curvature value of the online curve and label it as Zq; compare the standard curvature value Zq with the standard curvature threshold;

[0069] If the standard curvature value Zq is greater than the standard curvature threshold, it indicates that the temperature fluctuation of the pyrolysis furnace is related to the low degree of pyrolysis, and a related signal is generated.

[0070] If the standard curvature value Zq is less than the standard curvature threshold, it indicates that the temperature fluctuation of the pyrolysis furnace is not related to the low degree of pyrolysis, and an unrelated signal is generated.

[0071] The processing module acquires relevant and irrelevant signals from the judgment module. When a relevant signal is received, the heating frequency of the pyrolysis furnace is adjusted to ensure the stability of the heating frequency.

[0072] When an irrelevant signal is received, the pyrolysis process is investigated.

[0073] Example 2

[0074] Please see Figure 2 As shown, this invention is a thermal pyrolysis treatment process for nitrification wastewater, comprising the following steps:

[0075] Step 1: Obtain the operating data of the pyrolysis furnace, including the feed flow rate, the flow rate and composition of the pyrolysis products, and the temperature of the pyrolysis furnace;

[0076] Step 2: Obtain the feed flow rate Lj and the flow rate Ll of the pyrolysis products, and monitor the pyrolysis efficiency of the nitrification wastewater based on the changes in the feed and output of the pyrolysis furnace.

[0077] Step 3: Receive the thermal decomposition pass signal and thermal decomposition fail signal from the monitoring module;

[0078] When a qualified thermal decomposition signal is received, the contents of N2, CO2, and H2O in the decomposition products are obtained. Based on the contents of N2, CO2, and H2O in the decomposition products, the degree of decomposition of nitro groups and aromatic rings in the nitrification wastewater is determined.

[0079] When a pyrolysis failure signal is received, the temperature Tl of the pyrolysis furnace is acquired, and the change in the temperature Tl of the pyrolysis furnace is analyzed.

[0080] Step 4: Obtain the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace from the analysis module, and determine whether the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace are related.

[0081] Step 5: Obtain the relevant and irrelevant signals from the judgment module. When a relevant signal is received, adjust the heating frequency of the pyrolysis furnace to ensure the stability of the heating frequency.

[0082] When an irrelevant signal is received, the pyrolysis process is investigated.

[0083] The working principle of this invention: The nitrification wastewater pyrolysis treatment process of this invention analyzes the degree of pyrolysis of nitrification wastewater and whether it is fully pyrolyzed by using operating data such as feed flow rate, pyrolysis product flow rate, component content, and temperature of the pyrolysis furnace. The temperature of the pyrolysis furnace is used as a parameter to analyze the influence on the degree of pyrolysis, thereby enabling real-time monitoring of the nitrification wastewater pyrolysis treatment process and ensuring the efficiency of pyrolysis.

[0084] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A pyrolysis treatment system for nitrification wastewater, comprising: The data acquisition module obtains the operating data of the pyrolysis furnace, including the feed flow rate, the flow rate and composition content of the pyrolysis products, and the temperature of the pyrolysis furnace. The monitoring module obtains the real-time feed flow rate Lj and the flow rate L1 of the pyrolysis products, and judges the efficiency of nitrification wastewater pyrolysis based on the changes in the feed and output of the pyrolysis furnace. The specific working process of the monitoring module is as follows: Step 1: Using the thermal pyrolysis reaction time as the acquisition time point, obtain the real-time feed flow rate Lj and the flow rate L1 of the pyrolysis products; Step 2: According to the formula The cracking coefficient X1 of the nitrification wastewater was calculated; where, This is the error correction factor, with a value of 0.

538. Step 3: Compare the obtained pyrolysis coefficient X1 of the nitrified wastewater with the pyrolysis coefficient threshold of the nitrified wastewater; If the cracking coefficient X1 of the nitrified wastewater is greater than the cracking coefficient threshold of the nitrified wastewater, it indicates that the nitrified wastewater in the pyrolysis furnace is fully pyrolyzed and generates a qualified pyrolysis signal. If the cracking coefficient X1 of the nitrified wastewater is less than the cracking coefficient threshold of the nitrified wastewater, it indicates that the pyrolysis of the nitrified wastewater in the pyrolysis furnace is insufficient, generating a pyrolysis failure signal. The nitrification wastewater pyrolysis treatment system also includes an analysis module, which receives pyrolysis pass signals and pyrolysis fail signals from the monitoring module. The specific working process of the analysis module is as follows: Step 1: Obtain the N2 content Ln, CO2 content Lc, and H2O content Lh of the pyrolysis products; The contents of N2 in the pyrolysis product Ln, CO2 in the pyrolysis product Lc, and H2O in the pyrolysis product Lh are assigned weights a1, a2, and a3 respectively. Through formula The total content of pyrolysis products ZC was calculated. The total content value ZC of pyrolysis products is compared with the total threshold of pyrolysis product content: If the total content of pyrolysis products ZC is greater than the total content threshold of pyrolysis products, it indicates that the degree of nitro and aromatic ring pyrolysis is high, generating a high degree of pyrolysis signal; If the total content of pyrolysis products ZC is less than the total content threshold of pyrolysis products, it indicates that the degree of nitro and aromatic ring pyrolysis is low, generating a low degree of pyrolysis signal; Step 2: Obtain the temperature Tl of the pyrolysis furnace and construct a set of pyrolysis temperature values ​​A{Tl1, Tl2, ..., Tlm}; take the average value to obtain the average pyrolysis temperature Tlp; The average pyrolysis temperature Tlp is subtracted from the process standard pyrolysis temperature TB to obtain the pyrolysis temperature difference Tlc; The obtained pyrolysis temperature difference value Tlc is compared with the pyrolysis temperature difference threshold: If the pyrolysis temperature difference Tlc is greater than the pyrolysis temperature difference threshold, it indicates that the heating system of the pyrolysis furnace is unstable and generates an abnormal temperature fluctuation signal in the pyrolysis furnace. If the pyrolysis temperature difference Tlc is less than the pyrolysis temperature difference threshold, it indicates that the heating system of the pyrolysis furnace is stable and generates a normal temperature fluctuation signal for the pyrolysis furnace. The nitrification wastewater pyrolysis treatment system also includes a judgment module, which acquires the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace from the analysis module, and judges whether the low degree of pyrolysis signal and the abnormal temperature fluctuation signal of the pyrolysis furnace are related. The specific working process of the judgment module is as follows: Step 1: Obtain the total content of pyrolysis products ZC and the pyrolysis temperature difference Tlc from the analysis module; Step 2: Construct a rectangular coordinate system with the pyrolysis temperature difference Tlc as the X-axis and the total content of pyrolysis products ZC as the Y-axis. Substitute the real-time total content of pyrolysis products ZC and the pyrolysis temperature difference Tlc into the rectangular coordinate system and plot the online curve. Step 3: Obtain the standard curvature value of the online curve and mark it as Zq; compare the standard curvature value Zq with the standard curvature threshold; If the standard curvature value Zq is greater than the standard curvature threshold, it indicates that the temperature fluctuation of the pyrolysis furnace is related to the low degree of pyrolysis, and a related signal is generated. If the standard curvature value Zq is less than the standard curvature threshold, it indicates that the temperature fluctuation of the pyrolysis furnace is not related to the low degree of pyrolysis, and an unrelated signal is generated. The nitrification wastewater pyrolysis treatment system also includes a processing module, which acquires relevant and irrelevant signals from the judgment module. When a relevant signal is received, the heating frequency of the pyrolysis furnace is adjusted to ensure the stability of the heating frequency. When an irrelevant signal is received, the pyrolysis process is investigated.

Images