Advanced oxidation catalytic wastewater treatment equipment and method

Abstract

The present invention relates to the technical field of sewage treatment, and in particular to an advanced oxidation catalytic wastewater treatment device and method. The present application firstly selects a catalyst abnormal pipeline with abnormal treatment effect according to the change of various wastewater indicators between the wastewater at the inlet and the wastewater at the outlet of the oxidation pipeline and the determined wastewater treatment capacity of the oxidation pipeline; further considering that the presence of impurities on the catalyst surface will affect its activity and the presence of impurities will affect the flow of water and thus affect the pressure drop data, the present application determines the deactivation factor of each layer of catalyst according to the time series change trend of the pressure drop data of each layer of catalyst, combined with the characteristic that too long replacement time interval will also affect the activity of the catalyst; and selects the deactivated catalyst in the catalyst abnormal pipeline according to the deactivation factor, so as to adaptively replace and clean the deactivated catalyst, so that the treatment efficiency and treatment capacity of the wastewater are higher, and the utilization rate of the catalyst is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to an advanced oxidation catalytic wastewater treatment device and method. Background Art

[0002] In the process of industrial production, a large amount of wastewater is generated. These wastewaters usually contain various pollutants, such as heavy metals, organic matter, acid and alkali substances, etc. If they are discharged directly without treatment, they will cause serious pollution to the environment. The generation of wastewater mainly comes from various links in the industrial production process. In order to reduce the impact on the environment, these wastewaters need to be treated. Oxidation treatment is an important method in wastewater treatment. It uses strong oxidants to decompose organic matter in wastewater into harmless substances. Oxidation treatment can treat almost all types of industrial wastewater, and is particularly suitable for organic matter that is difficult to be biodegraded, such as pesticides, insecticides, phenols, cyanides, etc.

[0003] The advantage of ozone oxidation technology is that it can efficiently degrade organic matter in water, especially for those pollutants that are difficult to biodegrade. In addition, no harmful byproducts are left in the water after ozone treatment, which is a clean disinfection method. Therefore, ozone is often used to achieve oxidation treatment of wastewater. In the prior art, a Chinese patent application with publication number CN117125863A discloses an advanced oxidation catalytic wastewater treatment device, which realizes continuous oxidation treatment of wastewater by cleaning the catalyst, and relies on the ability of the catalyst in the actual treatment process. However, considering that the processing capacity, processing direction and processing effect of different catalysts are different, the time for catalyst replacement is substantially different, and the device cannot judge the use of the catalyst, that is, the deactivation condition, so all catalysts are usually replaced uniformly according to the wastewater treatment effect; therefore, when the prior art replaces the catalyst, there is usually a phenomenon that a large number of catalysts are not fully utilized, and the unified replacement of the catalyst will have a longer wastewater treatment vacuum period, thereby reducing the treatment efficiency and processing capacity of the wastewater. Summary of the invention

[0004] In order to solve the problem that a large amount of catalysts are usually not fully utilized when replacing catalysts in the prior art, and that uniformly replacing catalysts will result in a long wastewater treatment vacuum period, the purpose of this application is to provide an advanced oxidation catalytic wastewater treatment device and method, and the technical solutions adopted are as follows:

[0005] The present application provides a method for treating wastewater by advanced oxidation catalysis, comprising:

[0006] Obtain the index value of each wastewater index in the wastewater at the inlet and the wastewater at the outlet corresponding to each oxidation pipeline at the current moment; obtain the pressure drop data of each layer of catalyst in each oxidation pipeline at each sampling moment;

[0007] At the current moment, the wastewater treatment capacity of each oxidation pipeline is determined according to the deviation of the index values ​​between the wastewater at the inlet and the wastewater at the outlet corresponding to each oxidation pipeline under all wastewater indicators; the degree of catalyst abnormality of each oxidation pipeline is determined according to the overall deviation of the wastewater treatment capacity of each oxidation pipeline; and the catalyst abnormal pipelines among all oxidation pipelines at the current moment are screened out according to the degree of catalyst abnormality;

[0008] According to the time series change trend of the pressure drop data of each layer of catalyst in the abnormal catalyst pipeline, determine the abnormal pressure drop characteristic value of each layer of catalyst in the abnormal catalyst pipeline at the current moment; based on the replacement time interval of each layer of catalyst in the abnormal catalyst pipeline and the corresponding catalyst abnormality degree, determine the deactivation reference weight of each layer of catalyst in the abnormal catalyst pipeline at the current moment;

[0009] The deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline is determined according to the pressure drop abnormality characteristic value and the deactivation reference weight; the deactivation factor of each layer of catalyst in the catalyst abnormality pipeline is determined according to the deactivation characteristic value deviation between the catalyst abnormality pipeline and other oxidation pipelines under each layer of catalyst; the deactivated catalyst in the catalyst abnormality pipeline is screened out according to the deactivation factor, and then the deactivated catalyst is replaced and cleaned.

[0010] Furthermore, the process of obtaining the wastewater treatment capacity includes:

[0011] In each oxidation pipeline at the current moment, the difference between the index value of the wastewater at the inlet and the index value of the wastewater at the outlet under each wastewater index is used as the index processing capacity of each wastewater index in each oxidation pipeline at the current moment;

[0012] The mean of the index treatment capacity of all wastewater indicators in each oxidation pipeline is normalized to determine the wastewater treatment capacity of each oxidation pipeline.

[0013] Furthermore, the process of obtaining the abnormality degree of the catalyst includes:

[0014] At the current moment, the maximum value of the wastewater treatment capacity corresponding to all oxidation pipelines is taken as the reference maximum value; the difference between the reference maximum value and the wastewater treatment capacity corresponding to each oxidation pipeline is taken as the catalyst abnormality degree corresponding to each oxidation pipeline at the current moment.

[0015] Furthermore, the process of obtaining the abnormal catalyst pipeline includes:

[0016] The oxidation pipeline whose catalyst abnormality degree at the current moment is greater than the preset abnormality threshold is regarded as the catalyst abnormal pipeline.

[0017] Furthermore, the process of obtaining the abnormal characteristic value of pressure drop includes:

[0018] At a preset number of sampling moments before the current moment, all pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline are arranged in time sequence and then linear fitting is performed to determine the time series straight line of the pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline; the product of the normalized value of the slope of the pressure drop data time series straight line and the pressure drop data of each layer of catalyst in the catalyst abnormality pipeline at the current moment is used as the pressure drop abnormality characteristic value of each layer of catalyst in the catalyst abnormality pipeline.

[0019] Furthermore, the process of obtaining the deactivation reference weight includes:

[0020] At the current moment, the normalized value of the time interval from the last catalyst replacement corresponding to each layer of catalyst in the catalyst abnormality pipeline is used as the time influence characteristic value of each layer of catalyst in the catalyst abnormality pipeline;

[0021] The deactivation reference weight of each layer of catalyst in the catalyst abnormality pipeline is determined according to the product of the time impact characteristic value and the catalyst abnormality degree of the catalyst abnormality pipeline.

[0022] Furthermore, the process of obtaining the deactivation characteristic value includes:

[0023] The deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline is determined according to the product of the pressure drop abnormality characteristic value and the deactivation reference weight.

[0024] Furthermore, the process of obtaining the inactivation factor includes:

[0025] Analogously to the principle of obtaining the deactivation characteristic value of each layer of catalyst in the catalytic abnormality pipeline, the deactivation characteristic value of each layer of catalyst in each oxidation pipeline is obtained;

[0026] Determine the deactivation characteristic reference value of each layer of catalyst according to the average of the deactivation characteristic values ​​of each layer of catalyst in all oxidation pipelines;

[0027] The difference between the deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline and the deactivation characteristic reference value is normalized to determine the deactivation factor of each layer of catalyst in the catalyst abnormality pipeline.

[0028] Furthermore, the process of obtaining the deactivated catalyst includes:

[0029] In the catalyst abnormality pipeline, the catalyst layer whose deactivation factor is greater than a preset deactivation threshold is used as a catalytic deactivation layer; and the catalyst stored in the catalytic deactivation layer is used as a deactivated catalyst.

[0030] The present application also proposes an advanced oxidation catalytic wastewater treatment device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any step of an advanced oxidation catalytic wastewater treatment method is implemented.

[0031] This application has the following beneficial effects:

[0032] The present application provides an advanced oxidation catalytic wastewater treatment device and method. First, the wastewater treatment capacity of the oxidation pipeline is determined according to the changes in various wastewater indicators between the wastewater at the inlet and the wastewater at the outlet of the oxidation pipeline, so as to compare the wastewater treatment capacities, and screen out the abnormal catalyst pipeline with abnormal treatment effect according to the obtained catalyst abnormality degree; further considering that the presence of impurities on the catalyst surface will affect its activity, and the presence of impurities will cause the gap to become smaller, thereby affecting the flow of water, causing the pressure drop data obtained by sampling to change; therefore, the present application determines the deactivation factor of each layer of catalyst according to the time series change trend of the pressure drop data of each layer of catalyst, combined with the characteristic that too long replacement time interval will also affect the activity of the catalyst; and screens out the deactivated catalyst in the catalyst abnormal pipeline according to the deactivation factor, so as to adaptively replace and clean the deactivated catalyst, thereby solving the problem that a large number of catalysts are usually not fully utilized when replacing catalysts in the prior art, and the problem that there will be a long wastewater treatment vacuum period when the catalyst is replaced uniformly, so that the wastewater treatment efficiency and treatment capacity are higher, and the utilization rate of the catalyst is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 A flow chart of an advanced oxidation catalytic wastewater treatment method provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0035] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, describes in detail an advanced oxidation catalytic wastewater treatment equipment and method proposed in accordance with the present invention, its specific implementation method, structure, characteristics and effects. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0037] The specific scheme of an advanced oxidation catalytic wastewater treatment device and method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0038] See also Figure 1 , which shows a flow chart of an advanced oxidation catalytic wastewater treatment method provided by an embodiment of the present invention, comprising the following steps:

[0039] Step S101: obtaining the index value of each wastewater index in the inlet wastewater and outlet wastewater corresponding to each oxidation pipeline at the current moment; obtaining the pressure drop data of each layer of catalyst in each oxidation pipeline at each sampling moment.

[0040] In the prior art, a Chinese patent application with publication number CN117125863A discloses an advanced oxidation catalytic wastewater treatment device. In an embodiment of the present invention, treatment is performed on the basis of an advanced oxidation catalytic wastewater treatment device disclosed in a Chinese patent application with publication number CN117125863A, a pressure sensor is installed between the partition screen and the pressure screen, and the pressure drop data of each layer of catalyst in each oxidation pipeline at each sampling time is collected by the pressure sensor; all the corresponding catalysts in the interlayer between each group of partition screens and the pressure screen are used as each layer of catalyst, and the oxidation pipeline in this application corresponds to the oxidation tube in an advanced oxidation catalytic wastewater treatment device disclosed in publication number CN117125863A.

[0041] Further, at the current moment, the wastewater at the water inlet of each oxidation pipeline, that is, the water inlet wastewater, is collected by a sampling device, and the wastewater at the water outlet of each oxidation pipeline, that is, the water outlet wastewater, is collected at the same time; the index value of each wastewater index in the water inlet wastewater and the water outlet wastewater at the current moment is collected simultaneously by various wastewater index measuring devices. In a specific implementation of an embodiment of the present invention, the types of wastewater indicators are selected from wastewater oil content, wastewater nitrogen content and turbidity, and the corresponding index value under the wastewater oil content index is measured by an intelligent infrared spectrophotometer, and the corresponding index value under the wastewater nitrogen content index is measured by a total nitrogen meter; the corresponding index value under the turbidity index is measured by a turbidity sensor. In other specific implementations of the embodiments of the present invention, other turbidity indicators such as metal concentration and pH standard deviation can also be used for analysis, which will not be further elaborated here. It should be noted that the index values ​​subsequently adopted in the embodiments of the present invention are all index values ​​after normalization after measurement, which are used to prevent the influence of different dimensions on the calculation results.

[0042] Furthermore, in a specific implementation of the embodiment of the present invention, the time interval between two adjacent sampling moments is 10 minutes, which can be adjusted by the implementer according to the specific implementation environment.

[0043] Step S102: at the current moment, the wastewater treatment capacity of each oxidation pipeline is determined according to the indicator numerical deviation between the inlet wastewater and the outlet wastewater corresponding to each oxidation pipeline under all wastewater indicators; the degree of catalyst abnormality of each oxidation pipeline is determined according to the overall deviation of the wastewater treatment capacity of each oxidation pipeline; and the catalyst abnormal pipelines among all oxidation pipelines at the current moment are screened out according to the catalyst abnormality degree.

[0044] First of all, for each oxidation pipeline that treats wastewater with the help of ozone oxidation technology, the more the corresponding wastewater indicators of the discharged wastewater decrease compared to the incoming wastewater, the stronger the wastewater treatment capacity of the oxidation pipeline is, and the more normal the operation of the corresponding storage layer catalysts is; therefore, this application first determines the wastewater treatment capacity based on the numerical deviation of the indicators under all wastewater indicators between the inlet wastewater and the outlet wastewater corresponding to each oxidation pipeline.

[0045] Preferably, in some possible implementations of the embodiments of the present invention, the process of acquiring the wastewater treatment capacity includes:

[0046] In each oxidation pipeline at the current moment, the difference between the index value of the inlet wastewater and the index value of the outlet wastewater under each wastewater index is used as the index processing capacity of each wastewater index in each oxidation pipeline at the current moment; the mean of the index processing capacity of all wastewater indicators in each oxidation pipeline is normalized to determine the wastewater processing capacity of each oxidation pipeline. Under each wastewater index, the greater the difference between the index value of the inlet wastewater and the index value of the outlet wastewater, the more the corresponding wastewater index decreases after being treated in the oxidation pipeline, and the greater the index processing capacity of the wastewater index; since there are multiple wastewater indicators, the index processing capacity of all wastewater indicators is further combined by means of the mean, and the value of the obtained wastewater processing capacity is limited to the range of 0 to 1 by the normalization method, so that the closer the value of the wastewater processing capacity is to 1, the stronger the corresponding wastewater processing capacity is.

[0047] In a specific implementation of the embodiment of the present invention, the process of obtaining the wastewater treatment capacity is expressed by the formula: ;in, is the wastewater treatment capacity of the kth oxidation pipeline at the current moment; n is the number of wastewater indicator types; is the index value of the i-th wastewater index in the wastewater at the inlet corresponding to the k-th oxidation pipeline at the current moment; is the index value of the i-th wastewater index in the outlet wastewater corresponding to the k-th oxidation pipeline at the current moment; is the index processing capacity of the i-th type of wastewater index in the k-th oxidation pipeline at the current moment; It is a linear normalization function. The implementer can adjust the normalization method according to the specific implementation environment.

[0048] Under normal circumstances, the catalysts of each oxidation pipeline usually work normally; if there is a large deviation between the wastewater treatment capacity of an oxidation pipeline and the overall wastewater treatment capacity, it usually means that there is an abnormality in the catalytic process in the oxidation pipeline. Therefore, based on the overall deviation of the wastewater treatment capacity of each oxidation pipeline, the degree of catalyst abnormality of each oxidation pipeline is determined, and the catalyst-abnormal pipelines with abnormal wastewater treatment are screened out according to the degree of catalyst abnormality.

[0049] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the abnormality degree of the catalyst includes:

[0050] At the current moment, the maximum value of the wastewater treatment capacity corresponding to all oxidation pipelines is taken as the reference maximum value; the difference between the reference maximum value and the wastewater treatment capacity corresponding to each oxidation pipeline is taken as the catalyst abnormality corresponding to each oxidation pipeline at the current moment. When all oxidation pipelines are operating normally, that is, when there is no catalyst deactivation, the wastewater treatment capacity of all oxidation pipelines should be consistent, and then the wastewater treatment capacity corresponding to all oxidation pipelines should be concentrated near the maximum value; therefore, for each oxidation pipeline, the smaller its corresponding wastewater treatment capacity is compared to the maximum value of the wastewater treatment capacity corresponding to all oxidation pipelines, that is, the reference maximum value, the greater the corresponding catalyst abnormality.

[0051] In a specific implementation of the embodiment of the present invention, the process of obtaining the abnormality degree of the catalyst is expressed by the formula: ;in, is the abnormality degree of the catalyst corresponding to the kth oxidation pipeline at the current moment; is the maximum value of the wastewater treatment capacity corresponding to all oxidation pipelines at the current moment; is the wastewater treatment capacity corresponding to the kth oxidation pipeline at the current moment.

[0052] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the abnormal catalyst pipeline includes:

[0053] The oxidation pipeline whose catalyst abnormality degree at the current moment is greater than the preset abnormality threshold is regarded as the catalyst abnormal pipeline. In a specific implementation of the embodiment of the present invention, the preset abnormality threshold is set to 0.37, which can be adjusted according to the specific implementation environment; since the wastewater treatment capacity calculated by the embodiment of the present invention has a value range of 0 to 1, when screening the catalyst abnormality degree obtained by subtracting the wastewater treatment capacity, the corresponding threshold should also be limited to the value range of 0 to 1.

[0054] Step S103: Determine the abnormal pressure drop characteristic value of each layer of catalyst in the abnormal catalyst pipeline at the current moment according to the time series change trend of the pressure drop data of each layer of catalyst in the abnormal catalyst pipeline; determine the deactivation reference weight of each layer of catalyst in the abnormal catalyst pipeline at the current moment based on the replacement time interval of each layer of catalyst in the abnormal catalyst pipeline and the corresponding degree of catalyst abnormality.

[0055] Each oxidation pipeline usually has multiple or multi-layer catalysts, and the processing capacity, processing direction and processing effect of each layer of catalyst are different. When any layer of catalyst becomes deactivated or other abnormalities occur, the wastewater treatment capacity of the oxidation pipeline will be affected. Therefore, it is necessary to further determine the specific location of the deactivated catalyst.

[0056] During the wastewater treatment process, some impurities may cover the surface of the catalyst, which will affect the activity of the corresponding catalyst, and the presence of impurities will cause the gap to become smaller, thereby affecting the flow of water, causing the sampled pressure drop data to change; therefore, for each layer of catalyst, if the pressure drop data shows a time-series upward trend, and the corresponding pressure drop data at the current moment is large, it means that the catalyst is likely to have obstructed the flow of wastewater, which means that there are impurities on the surface of the catalyst and the corresponding pressure drop data is abnormal. Therefore, the present application determines the abnormal pressure drop characteristic value of each layer of catalyst according to the time-series change trend of the pressure drop data of each layer of catalyst in the catalyst abnormality pipeline, so that the larger the pressure drop characteristic value of each layer, the greater the possibility of deactivation of the corresponding catalyst.

[0057] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the abnormal characteristic value of pressure drop includes:

[0058] In the preset number of sampling moments before the current moment, all the pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline are arranged in time sequence and then linear fitting is performed to determine the time series straight line of the pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline. In the embodiment of the present invention, the preset number is set to 10, which can be adjusted according to the specific implementation environment. When the number of sampling moments before the current moment is less than 10, the total number of sampling moments before the current moment is used as the preset number.

[0059] For each layer of catalyst in each catalyst abnormality pipeline at the current moment, the direct reason for the increase in pressure drop data is the increased ability of the catalyst to hinder the flow of wastewater; the indirect reason is that the impurities in the catalytic or wastewater treatment process are concentrated on the catalyst surface, causing the gap to become smaller, thereby increasing the ability to hinder the flow of wastewater, thereby indirectly increasing the pressure drop data; and the more impurities on the catalyst surface, the worse the corresponding catalyst activity will be; therefore, the larger the pressure drop data at the current moment, the worse the corresponding catalyst activity may be, that is, the more likely the catalyst is to be deactivated.

[0060] In addition, the greater the increase in the pressure drop data, the faster the impurities accumulate on the catalyst surface, that is, the more likely the catalyst is to be deactivated; so after all the pressure drop data in the historical data are arranged in chronological order and then fitted with a straight line, the greater the slope of the corresponding fitting line, the more likely the catalyst is to be deactivated; that is, the slope of the pressure drop data time series line and the pressure drop data at the current moment are both positively correlated with catalyst deactivation, and therefore the normalized value of the slope of the pressure drop data time series line and the pressure drop data of each layer of catalyst in the catalyst abnormal pipeline at the current moment are further multiplied as the pressure drop abnormal characteristic value of each layer of catalyst in the catalyst abnormal pipeline; the possibility of catalyst deactivation is characterized in the dimension of pressure data by the pressure drop abnormal characteristic value.

[0061] In a specific implementation of the embodiment of the present invention, the process of obtaining the abnormal characteristic value of pressure drop is expressed by the formula: ;in, is the abnormal characteristic value of the pressure drop of the hth catalyst layer in the rth catalyst abnormal pipeline at the current moment; is the slope value of the pressure drop data time series straight line corresponding to the h-th layer of catalyst in the r-th catalyst abnormal pipeline at the current moment; is the pressure drop data corresponding to the hth layer of catalyst in the rth catalyst abnormal pipeline at the current moment; is a linear normalization function, and the implementer can adjust the normalization method according to the specific implementation environment. By normalizing the slope value, it is prevented that the abnormal characteristic value of the pressure drop obtained in the calculation process is negative when a downward trend occurs, which leads to inconsistency with objective facts. It should be noted that in addition to the product, the implementer can also calculate the abnormal characteristic value of the pressure drop by other methods according to the correlation, such as the normalized value of the mean and the sum value, etc., which will not be further elaborated here.

[0062] In addition, for each layer of catalyst, the longer it is used, that is, the longer the time is compared to the last time the catalyst was replaced, the greater the possibility of deactivation of this layer of catalyst; and considering that the degree of catalyst abnormality in different catalyst abnormality pipes is different, and the greater the degree of catalyst abnormality, the greater the possibility of catalyst deactivation and the degree of deactivation; so in combination with the above two characteristics, the present application determines the deactivation reference weight based on the replacement time interval of each layer of catalyst in the catalyst abnormality pipe and the corresponding degree of catalyst abnormality; so that the larger the obtained deactivation reference weight, the more likely the corresponding catalyst layer is to be deactivated.

[0063] Preferably, in some possible implementations of the embodiments of the present invention, the process of acquiring the deactivation reference weight includes:

[0064] At the current moment, the normalized value of the time interval from the last catalyst replacement corresponding to each layer of catalyst in the catalyst abnormality pipeline is used as the time influence characteristic value of each layer of catalyst in the catalyst abnormality pipeline. Considering that for each layer of catalyst, the longer it is used, that is, the longer the time compared to the last catalyst replacement, the greater the possibility of deactivation of this layer of catalyst, the larger the time influence characteristic value, the more likely the corresponding catalyst is to be deactivated. Further, based on the characteristics that the greater the degree of catalyst abnormality, the greater the possibility of catalyst deactivation and the degree of deactivation, the possibility of catalyst deactivation is characterized in combination with the time influence characteristic value, so the deactivation reference weight of each layer of catalyst in the catalyst abnormality pipeline is further determined based on the product of the time influence characteristic value and the degree of catalyst abnormality of the catalyst abnormality pipeline.

[0065] In a specific implementation of the embodiment of the present invention, the process of obtaining the deactivation reference weight is expressed by the formula: ;in, is the deactivation reference weight of the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment; is the catalyst abnormality degree corresponding to the rth catalyst abnormal pipeline at the current moment; is the normalized value of the time interval from the last catalyst replacement corresponding to the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment, that is, the time influence characteristic value corresponding to the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment. It should be noted that, in addition to the product, the implementer can also calculate the deactivation reference weight by other methods according to the correlation, such as the normalized value of the mean and the sum, etc., which will not be further elaborated here.

[0066] Step S104: Determine the deactivation characteristic value of each layer of catalyst in the abnormal catalyst pipeline according to the abnormal pressure drop characteristic value and the deactivation reference weight; determine the deactivation factor of each layer of catalyst in the abnormal catalyst pipeline according to the deviation of the deactivation characteristic value between the abnormal catalyst pipeline and other oxidation pipelines under each layer of catalyst; and replace and clean the deactivated catalyst after screening out the deactivated catalyst in the abnormal catalyst pipeline according to the deactivation factor.

[0067] Since both the pressure drop abnormality characteristic value and the deactivation reference weight can characterize the deactivation possibility of each layer of catalyst in the catalyst abnormality pipeline, the deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline is further determined based on the pressure drop abnormality characteristic value and the deactivation reference weight; so that the obtained deactivation characteristic value can more accurately characterize the deactivation possibility.

[0068] Preferably, the process of obtaining the deactivation characteristic value includes:

[0069] The larger the pressure drop abnormal characteristic value and the larger the deactivation reference weight, the greater the corresponding deactivation possibility, and the deactivation characteristic value represents the corresponding deactivation possibility. Therefore, the deactivation characteristic value of each layer of catalyst in the catalyst abnormal pipeline is further determined according to the product between the pressure drop abnormal characteristic value and the deactivation reference weight; the pressure drop abnormal characteristic value and the deactivation reference weight are combined by multiplication to jointly represent the deactivation characteristic value. It should be noted that in addition to the product, the implementer can also calculate the deactivation characteristic value by other methods according to the correlation, such as the normalized value of the mean and the sum value, etc., which will not be further elaborated here. In a specific implementation of an embodiment of the present invention, the process of obtaining the deactivation characteristic value is expressed by the formula: ;in, is the deactivation characteristic value of the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment; is the deactivation reference weight of the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment; is the abnormal characteristic value of the pressure drop of the hth catalyst layer in the rth catalyst abnormal pipeline at the current moment.

[0070] For each layer of catalyst in the catalyst abnormality pipeline, the larger its corresponding deactivation characteristic value is relative to the deactivation characteristic value of the same layer of catalyst in other oxidation pipelines, that is, the same type of catalyst, the more obvious the deactivation characteristic of the corresponding layer of catalyst in the catalyst abnormality pipeline itself is. By comparing with the same layer of catalyst in other oxidation pipelines, the deactivation abnormality of each layer of catalyst in the catalyst abnormality pipeline can be more clearly understood.

[0071] Preferably, the process of obtaining the inactivation factor includes:

[0072] Analogously to the principle of obtaining the deactivation characteristic value of each layer of catalyst in the catalytic abnormality pipeline, the deactivation characteristic value of each layer of catalyst in each oxidation pipeline is obtained; that is, in the process of calculating the pressure drop abnormality characteristic value and the catalyst abnormality degree of each layer of catalyst in the catalytic abnormality pipeline, the catalytic abnormality pipeline is replaced with each oxidation pipeline for calculation, so as to obtain the pressure drop abnormality characteristic value and the catalyst abnormality degree of each layer of catalyst in each oxidation pipeline, and further, the product of the pressure drop abnormality characteristic value and the catalyst abnormality degree of each layer of catalyst in each oxidation pipeline is used as the deactivation characteristic value of each layer of catalyst in each oxidation pipeline.

[0073] According to the mean of the deactivation characteristic values ​​of each layer of catalyst in all oxidation pipelines, the deactivation characteristic reference value of each layer of catalyst is determined; wherein, the catalyst type of the same layer of catalyst in different oxidation pipelines is the same; by calculating the mean of the deactivation characteristic values ​​of each layer of catalyst in all oxidation pipelines, the overall catalyst activity characteristics of each layer of catalyst at the current moment, that is, the average characteristics of the possibility of catalyst deactivation, are characterized; therefore, the deactivation characteristic reference value can be used as a standard, and the larger the deactivation characteristic value of the corresponding catalyst layer in each catalyst abnormal pipeline relative to the deactivation characteristic reference value, the more likely the deactivation of the catalyst in this layer is. The larger the feature is relative to the average feature, the more likely the corresponding catalyst is to be deactivated; therefore, the difference between the deactivation feature value of each layer of catalyst in the catalyst abnormality pipeline and the deactivation feature reference value is further normalized to determine the deactivation factor of each layer of catalyst in the catalyst abnormality pipeline; the deactivation factor is characterized by the deactivation feature value of each layer of catalyst in the catalyst abnormality pipeline relative to the average feature of the deactivation feature value, which can make the obtained deactivation factor more robust in characterizing the possibility of deactivation, and the value range of the deactivation factor is limited to 0 to 1 through normalization, which is convenient for the subsequent screening of deactivated catalysts.

[0074] In a specific implementation of the embodiment of the present invention, the process of obtaining the inactivation factor is expressed by the formula: ; is the deactivation factor of the h-th layer catalyst in the r-th catalyst abnormal pipeline at the current moment; is the deactivation characteristic value of the hth layer of catalyst in the rth catalyst abnormal pipeline at the current moment; N is the total number of oxidation pipelines; is the deactivation characteristic value of the h-th layer catalyst in the m-th oxidation pipeline at the current moment; is the deactivation characteristic reference value of the catalyst in the hth layer at the current moment; It is a linear normalization function. The implementer can adjust the normalization method according to the specific implementation environment.

[0075] Since the larger the deactivation factor, the more likely the corresponding catalyst is to be deactivated, preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the deactivated catalyst includes:

[0076] In the catalyst abnormality pipeline, the catalyst layer with a deactivation factor greater than a preset deactivation threshold is used as a catalytic deactivation layer; the catalyst stored in the catalytic deactivation layer is used as a deactivated catalyst; in an embodiment of the present invention, the preset deactivation threshold is set to 0.57, which can be adjusted according to the specific implementation environment.

[0077] After determining the deactivated catalyst at the current moment, all catalysts in the catalyst layer where the deactivated catalyst is located are discharged into the catalyst cleaning chamber for cleaning, and new catalysts are replaced based on the type of deactivated catalyst to continue oxidizing wastewater treatment, thereby performing adaptive replacement of the catalyst, so that the catalyst can be fully utilized, and the vacuum period of wastewater treatment is reduced, thereby improving the wastewater treatment efficiency and processing capacity.

[0078] To summarize, the present application determines the wastewater treatment capacity of the oxidation pipeline according to the changes in various wastewater indicators between the wastewater at the inlet and the wastewater at the outlet of the oxidation pipeline, thereby comparing the sizes of the wastewater treatment capacities, and screening out the abnormal catalyst pipelines with abnormal treatment effects according to the obtained catalyst abnormality degree; further considering that the presence of impurities on the catalyst surface will affect its activity, and the presence of impurities will cause the gap to become smaller, thereby affecting the flow of water, causing the pressure drop data obtained by sampling to change; therefore, the present application determines the deactivation factor of each layer of catalyst according to the time series change trend of the pressure drop data of each layer of catalyst, combined with the characteristic that too long replacement time interval will also affect the activity of the catalyst; and screens out the deactivated catalyst in the abnormal catalyst pipeline according to the deactivation factor, thereby adaptively replacing and cleaning the deactivated catalyst, so that the wastewater treatment efficiency and treatment capacity are higher, and the utilization rate of the catalyst is improved.

[0079] The present application also proposes an advanced oxidation catalytic wastewater treatment device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any step of an advanced oxidation catalytic wastewater treatment method is implemented.

[0080] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0081] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for treating wastewater from an advanced oxidation catalyst, characterized in that: The method comprises: Obtain the index value of each wastewater index in the wastewater at the inlet and the wastewater at the outlet corresponding to each oxidation pipeline at the current moment; obtain the pressure drop data of each layer of catalyst in each oxidation pipeline at each sampling moment; At the current moment, the wastewater treatment capacity of each oxidation pipeline is determined according to the deviation of the index values ​​between the wastewater at the inlet and the wastewater at the outlet corresponding to each oxidation pipeline under all wastewater indicators; the degree of catalyst abnormality of each oxidation pipeline is determined according to the overall deviation of the wastewater treatment capacity of each oxidation pipeline; and the catalyst abnormal pipelines among all oxidation pipelines at the current moment are screened out according to the degree of catalyst abnormality; According to the time series change trend of the pressure drop data of each layer of catalyst in the abnormal catalyst pipeline, determine the abnormal pressure drop characteristic value of each layer of catalyst in the abnormal catalyst pipeline at the current moment; based on the replacement time interval of each layer of catalyst in the abnormal catalyst pipeline and the corresponding catalyst abnormality degree, determine the deactivation reference weight of each layer of catalyst in the abnormal catalyst pipeline at the current moment; Determine the deactivation characteristic value of each layer of catalyst in the abnormal catalyst pipeline according to the abnormal pressure drop characteristic value and the deactivation reference weight; determine the deactivation factor of each layer of catalyst in the abnormal catalyst pipeline according to the deviation of the deactivation characteristic value between the abnormal catalyst pipeline and other oxidation pipelines under each layer of catalyst; and replace and clean the deactivated catalyst after screening out the deactivated catalyst in the abnormal catalyst pipeline according to the deactivation factor; The process of obtaining the wastewater treatment capacity includes: In each oxidation pipeline at the current moment, the difference between the index value of the wastewater at the inlet and the index value of the wastewater at the outlet under each wastewater index is used as the index processing capacity of each wastewater index in each oxidation pipeline at the current moment; Normalize the mean of the index treatment capacity of all wastewater indicators in each oxidation pipeline to determine the wastewater treatment capacity of each oxidation pipeline; The process of obtaining the abnormality degree of the catalyst includes: At the current moment, the maximum value of the wastewater treatment capacity corresponding to all oxidation pipelines is used as the reference maximum value; the difference between the reference maximum value and the wastewater treatment capacity corresponding to each oxidation pipeline is used as the catalyst abnormality degree corresponding to each oxidation pipeline at the current moment; The process of obtaining the abnormal characteristic value of pressure drop includes: At a preset number of sampling moments before the current moment, all pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline are arranged in time sequence and then linear fitting is performed to determine the time series straight line of the pressure drop data corresponding to each layer of catalyst in the catalyst abnormality pipeline; the product of the normalized value of the slope of the pressure drop data time series straight line and the pressure drop data of each layer of catalyst in the catalyst abnormality pipeline at the current moment is used as the pressure drop abnormality characteristic value of each layer of catalyst in the catalyst abnormality pipeline.

2. The method for treating wastewater from an advanced oxidation catalyst according to claim 1, characterized in that: The process of obtaining the abnormal catalyst pipeline includes: The oxidation pipeline whose catalyst abnormality degree at the current moment is greater than the preset abnormality threshold is regarded as the catalyst abnormal pipeline.

3. The method for treating wastewater from an advanced oxidation catalyst according to claim 1, characterized in that: The process of obtaining the deactivation reference weight includes: At the current moment, the normalized value of the time interval from the last catalyst replacement corresponding to each layer of catalyst in the catalyst abnormality pipeline is used as the time influence characteristic value of each layer of catalyst in the catalyst abnormality pipeline; The deactivation reference weight of each layer of catalyst in the catalyst abnormality pipeline is determined according to the product of the time impact characteristic value and the catalyst abnormality degree of the catalyst abnormality pipeline.

4. The method for treating wastewater from an advanced oxidation catalyst according to claim 1, characterized in that: The process of obtaining the deactivation characteristic value includes: The deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline is determined according to the product of the pressure drop abnormality characteristic value and the deactivation reference weight.

5. The method for treating wastewater from an advanced oxidation catalyst according to claim 1, characterized in that: The process of obtaining the inactivation factor includes: Analogously to the principle of obtaining the deactivation characteristic value of each layer of catalyst in the catalytic abnormality pipeline, the deactivation characteristic value of each layer of catalyst in each oxidation pipeline is obtained; Determine the deactivation characteristic reference value of each layer of catalyst according to the average of the deactivation characteristic values ​​of each layer of catalyst in all oxidation pipelines; wherein the catalyst types of the same layer of catalysts in different oxidation pipelines are the same; The difference between the deactivation characteristic value of each layer of catalyst in the catalyst abnormality pipeline and the deactivation characteristic reference value is normalized to determine the deactivation factor of each layer of catalyst in the catalyst abnormality pipeline.

6. The method for treating wastewater from an advanced oxidation catalyst according to claim 1, characterized in that: The process of obtaining the deactivated catalyst comprises: In the catalyst abnormality pipeline, the catalyst layer whose deactivation factor is greater than a preset deactivation threshold is used as a catalytic deactivation layer; and the catalyst stored in the catalytic deactivation layer is used as a deactivated catalyst.

7. An advanced oxidation catalytic wastewater treatment device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of an advanced oxidation catalytic wastewater treatment method as claimed in any one of claims 1 to 6 are implemented.

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