A method and system for treating chemical production waste liquid

Abstract

The application provides a chemical production waste liquid treatment method and treatment system, relates to the technical field of chemical waste liquid treatment, and adds an oxidant medium to an electrochemical oxidation unit of a waste liquid inflow section to be treated; the required flocculant supplement amount of the waste liquid to be treated in the current oxidation reaction process is determined by condensation load data and a real-time flocculation potential index in the electrochemical oxidation process; the adsorption response trend of the flocculation and precipitation process in the constant contaminant adsorption rate is predicted according to the precipitation interference characteristics, the adsorption response trend is matched with a filtering mechanism, the filtering and separating strategy of the multistage combined separation process under the contaminant adsorption load is obtained, and the settlement separation index in the efficiency fluctuation of the multistage treatment process is generated to guide and adjust the treatment process of the chemical production waste liquid. The application can accurately regulate and control the separation strategy of the treatment process under the working condition that the chemical waste liquid composition is complex and dynamically fluctuates, so that the stability of the chemical production waste liquid treatment is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of chemical waste liquid treatment, and more particularly to a chemical production waste liquid treatment method and system. BACKGROUND

[0002] The chemical waste liquid treatment refers to a combined technology of physical pretreatment, chemical oxidation, flocculation and sedimentation, and multi-stage combined separation, etc. The water quality is balanced by a homogeneous buffer unit to eliminate component fluctuation, and then the difficult-to-degrade organic matters are degraded by an electrochemical oxidation unit and the pollutant coagulation is promoted. A stable coagulum is formed by a flocculation and sedimentation process to realize preliminary solid-liquid separation. The residual pollutants are deeply intercepted by subsequent multi-stage combined separation technologies such as gravity sedimentation, pressurized sedimentation and ultrafiltration. The oxidation agent dosage, flocculant supplement amount and separation unit operating parameters are dynamically adjusted, so as to realize efficient removal of heavy metals, organic matters, suspended solids and other pollutants in the chemical production waste liquid, ensure that the waste liquid meets the discharge standard or meets the recycling requirements, and avoid deep treatment process of toxic and harmful substances polluting the soil and water and destroying the ecological balance.

[0003] However, in the existing chemical production waste liquid treatment, the original liquid is not subjected to targeted homogeneous buffer treatment. The flocculant dosage only depends on a single water quality index and lacks linkage with the oxidation reaction process. Meanwhile, the interference characteristics of the sedimentation generated by the dynamic coexistence of pollutants are ignored. The adaptation relationship between the filtering mechanism and the adsorption response trend is not established. The key treatment parameter regulation lacks accurate basis. The multi-stage separation process lacks clear collaborative operation strategy. The flocculation and sedimentation efficiency is easily affected by water quality fluctuation. The pollutant separation is not complete. The overall synergy of the treatment process is insufficient. Therefore, it is difficult to stably control the water quality, and the pollutant removal rate fluctuates greatly. Therefore, how to accurately regulate the separation strategy of the treatment process under the condition of complex and dynamic fluctuation of the composition of the chemical waste liquid to improve the stability of the chemical production waste liquid treatment is a problem faced by the industry. SUMMARY

[0004] The present application provides a chemical production waste liquid treatment method and system, which can accurately regulate the separation strategy of the treatment process under the condition of complex and dynamic fluctuation of the composition of the chemical waste liquid to improve the stability of the chemical production waste liquid treatment.

[0005] In a first aspect, the present application provides a chemical production waste liquid treatment method, which comprises the following steps:

[0006] The homogeneous buffer treatment is performed on the chemical production waste liquid to obtain the treated waste liquid with stable quality indexes. An oxidation agent medium is added to the electrochemical oxidation unit of the treated waste liquid inflow section.

[0007] Collect the coagulation load data of the stable quality index of the waste liquid to be treated under the action of the oxidant medium, and determine the flocculant supplement amount required for the waste liquid to be treated in the current oxidation reaction process through the coagulation load data and the real-time flocculation potential index in the electrochemical oxidation process;

[0008] Determine the sedimentation interference characteristics of the settling concentration information of the dynamic coexistence of pollutants in the chemical waste liquid on the sedimentation process, predict the adsorption response trend of the flocculation and sedimentation process in the constant pollutant adsorption rate according to the sedimentation interference characteristics, and match the filtering mechanism to the adsorption response trend to obtain the filtering and separation strategy of the multi-stage combined separation process under the adsorption load of the pollutants.

[0009] According to the flocculant supplement amount and the filtering and separation strategy, generate the sedimentation separation index of the efficiency fluctuation in the multi-stage treatment process, and then guide and adjust the treatment process of the chemical production waste liquid according to the sedimentation separation index.

[0010] In this embodiment, the homogeneous buffer treatment refers to the pretreatment operation for stabilizing the key quality indicators of the chemical production waste liquid and eliminating the interference of component fluctuation on the treatment process.

[0011] In this embodiment, the electrochemical oxidation unit refers to a treatment device that uses electrode reaction as the core and drives the oxidation-reduction reaction through the action of an electric field to degrade the refractory pollutants in the waste liquid.

[0012] In this embodiment, collecting the coagulation load data of the stable quality index of the waste liquid to be treated under the action of the oxidant medium specifically includes:

[0013] According to the stable quality index of the waste liquid to be treated and the oxidant medium, determine the particle coagulation characteristics in the waste liquid;

[0014] According to the particle coagulation characteristics, determine the oxidant dosage under the action of the oxidant medium;

[0015] According to the oxidant dosage, determine the coagulation load data under the action of the oxidant medium.

[0016] In this embodiment, the flocculation potential index refers to a dynamic parameter that is continuously monitored in the electrochemical oxidation process and reflects the surface charge state of colloidal particles in the waste liquid to be treated.

[0017] In this embodiment, determining the sedimentation interference characteristics of the settling concentration information of the dynamic coexistence of pollutants in the chemical waste liquid on the sedimentation process specifically includes:

[0018] Configure a chemical waste liquid simulation water sample containing multiple dynamically coexisting pollutants, and simulate the sedimentation process under controllable conditions;

[0019] Synchronously monitor real-time sedimentation concentration information in the simulated precipitation process, and record corresponding dynamic pollutant coexistence concentration;

[0020] Determine precipitation interference characteristics generated by the precipitation process according to the real-time sedimentation concentration information and the dynamic pollutant coexistence concentration.

[0021] In the embodiment, the adsorption response trend refers to an evolution direction of adsorption efficiency in the flocculation precipitation process under a constant adsorption rate.

[0022] In the embodiment, the adsorption response trend is matched with a filtering mechanism to obtain a filtering separation strategy of the multistage combined separation process under pollutant adsorption load, and the filtering separation strategy specifically includes:

[0023] Determine adsorption-filtering correlation information in the multistage combined separation process according to the adsorption response trend and separation characteristics of a plurality of filtering mechanisms;

[0024] Determine an efficiency complementary relationship of different filtering mechanisms under pollutant adsorption load through the adsorption-filtering correlation information;

[0025] Generate a filtering separation strategy of the multistage combined separation process under pollutant adsorption load based on the efficiency complementary relationship.

[0026] In the embodiment, generate a sedimentation separation index in the multistage treatment process when efficiency fluctuates according to the flocculant supplement amount and the filtering separation strategy, and the sedimentation separation index specifically includes:

[0027] Determine a synergistic treatment period in the multistage treatment process according to the flocculant supplement amount and the filtering separation strategy;

[0028] Synchronously monitor sedimentation fluctuation characteristics in the multistage treatment process when efficiency fluctuates in the synergistic treatment period;

[0029] Determine a sedimentation separation index in the multistage treatment process when efficiency fluctuates through the sedimentation fluctuation characteristics.

[0030] In a second aspect, the application provides a chemical production waste liquid treatment system for executing a chemical production waste liquid treatment method, and the chemical production waste liquid treatment system includes:

[0031] A homogeneous buffer module is configured to perform homogeneous buffer treatment on the chemical production waste liquid to obtain treated waste liquid with stable quality indexes, and to add an oxidant medium to an electrochemical oxidation unit of a treated waste liquid inflow section;

[0032] a flocculant adjustment module, configured to collect flocculation load data of the treated waste liquid with stable quality indexes under the action of the oxidizing agent medium, and determine a required amount of the flocculant to be added in the current oxidation reaction process of the treated waste liquid by the flocculation load data and a real-time flocculation potential index in the electrochemical oxidation process;

[0033] a filtration mechanism matching module, configured to determine a sedimentation interference feature of the sedimentation concentration information of the pollutants dynamically coexisting in the chemical waste liquid on the sedimentation process, predict an adsorption response trend of the flocculation and sedimentation process in a constant pollutant adsorption rate according to the sedimentation interference feature, match a filtration mechanism to the adsorption response trend, and obtain a filtration and separation strategy of the multi-stage combined separation process under the adsorption load of the pollutants;

[0034] a process guiding module, configured to generate a sedimentation and separation index in the performance fluctuation of the multi-stage treatment process according to the amount of the flocculant to be added and the filtration and separation strategy, and then guide and adjust the treatment process of the chemical production waste liquid according to the sedimentation and separation index.

[0035] The technical scheme provided by the embodiments disclosed in the application has the following beneficial effects:

[0036] The chemical production waste liquid is subjected to homogeneous buffering treatment to obtain treated waste liquid with stable quality indexes, and an oxidizing agent medium is added into an electrochemical oxidation unit of a treated waste liquid inflow section. Flocculation load data of the treated waste liquid with stable quality indexes under the action of the oxidizing agent medium is collected, and a required amount of the flocculant to be added in the current oxidation reaction process of the treated waste liquid is determined by the flocculation load data and a real-time flocculation potential index in the electrochemical oxidation process. A sedimentation interference feature of the sedimentation concentration information of the pollutants dynamically coexisting in the chemical waste liquid on the sedimentation process is determined, an adsorption response trend of the flocculation and sedimentation process in a constant pollutant adsorption rate is predicted according to the sedimentation interference feature, a filtration mechanism is matched to the adsorption response trend, and a filtration and separation strategy of the multi-stage combined separation process under the adsorption load of the pollutants is obtained. A sedimentation and separation index in the performance fluctuation of the multi-stage treatment process is generated according to the amount of the flocculant to be added and the filtration and separation strategy, and then the treatment process of the chemical production waste liquid is guided and adjusted according to the sedimentation and separation index.

[0037] It can be seen that in the present application, the removal efficiency of pollutants can be improved under the working condition of dynamic coexistence of pollutants and easy fluctuation of water quality. Through homogeneous buffer treatment of the chemical production waste liquid, the adverse effects caused by the fluctuation of its components are effectively eliminated, providing a treatment object with uniform properties for subsequent treatment processes, and adding an oxidizing agent medium to the inflow section of the electrochemical oxidation unit to strengthen the oxidation and degradation effect of refractory pollutants and promote the coagulation of pollutants. With the collection of coagulation load data and the linkage with the real-time flocculation potential index in the electrochemical oxidation process, dynamic and accurate calculation and addition of the coagulant addition amount are realized, avoiding the problems of insufficient or excessive addition caused by relying on a single water quality index to control the coagulant addition, and ensuring the efficient progress of the flocculation reaction. By accurately identifying the precipitation interference characteristics caused by the dynamic coexistence of pollutants, predicting the adsorption response trend and matching the exclusive filtering mechanism, the filtering and separation strategy of the multi-stage combined separation process is developed, solving the problem of incomplete separation of pollutants caused by ignoring the precipitation interference and lack of targeted separation scheme, and improving the separation stability under different adsorption loads. Based on the coagulant addition amount and the filtering and separation strategy, the sedimentation separation index with adaptive efficiency fluctuation is generated, and the treatment process is dynamically guided and adjusted, realizing the precise linkage and collaborative operation of each treatment link, and improving the effluent standard rate of the chemical production waste liquid treatment.

[0038] In summary, the technical solution adopted by the present application can precisely regulate the separation strategy of the treatment process under the working condition of complex and dynamically fluctuating components of chemical waste liquid, to improve the stability of the chemical production waste liquid treatment. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only the embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0040] Figure 1 is an exemplary flowchart of a chemical production waste liquid treatment method according to the present application;

[0041] Figure 2 is a flowchart for determining the coagulant addition amount according to the present application;

[0042] Figure 3 is a flowchart for determining the adsorption response trend according to the present application;

[0043] Figure 4 is a module structure diagram of a chemical production waste liquid treatment system according to the present application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0045] The embodiments of the present application provide a chemical production waste liquid treatment method and a treatment system. The core is to perform homogeneous buffer treatment on the chemical production waste liquid to obtain waste liquid to be treated with stable quality indexes, and to add an oxidizing agent medium to an electrochemical oxidation unit of a waste liquid to be treated inflow section. Aggregation load data of the waste liquid to be treated with stable quality indexes under the action of the oxidizing agent medium is collected, and a flocculant supplement amount required by the waste liquid to be treated in a current oxidation reaction process is determined by the aggregation load data and a real-time flocculation potential index in an electrochemical oxidation process. A settling concentration information of pollutants in the chemical waste liquid in a dynamic coexistence state is determined to generate a sedimentation interference characteristic of a sedimentation process, an adsorption response trend of a flocculation and sedimentation process in a constant pollutant adsorption rate is predicted according to the sedimentation interference characteristic, the adsorption response trend is matched with a filtering mechanism, a filtering and separation strategy of a multi-stage combined separation process under a pollutant adsorption load is obtained, and a settling and separation index in a multi-stage treatment process when an efficiency fluctuates is generated according to the flocculant supplement amount and the filtering and separation strategy, and then a treatment process of the chemical production waste liquid is guided and adjusted according to the settling and separation index.

[0046] Embodiment one, in order to better understand the above technical solutions, the above technical solutions will be described in detail below in combination with the description of the drawings and specific embodiments. Referring to Figure 1 The figure is an exemplary flowchart of a chemical production waste liquid treatment method according to the embodiments of the present application, and the chemical production waste liquid treatment method includes the following steps:

[0047] In step S1, the chemical production waste liquid is subjected to homogeneous buffer treatment to obtain waste liquid to be treated with stable quality indexes, and an oxidizing agent medium is added to an electrochemical oxidation unit of a waste liquid to be treated inflow section.

[0048] In a specific implementation, a vertical buffer tank with an effective volume of 5 cubic meters can be selected, and a paddle type stirring device (which can be selected as model JBJ-300 with a power of 3 kW) is installed at the bottom of the tank. The chemical production waste liquid is transported to the buffer tank by a feed pump with a flow range of 5-10 cubic meters / hour, the stirring device is started and the stirring rate is set to 200 revolutions / minute, so that the waste liquid is fully mixed in the tank. An online chemical oxygen demand (COD) monitor (model COD-200), an online turbidity meter (model WTW-TU550), and an online pH meter (model PHS-3C) are installed at the inlet and outlet of the buffer tank, respectively, to collect COD, turbidity, and pH value data in real time, and the fluctuation range of each index is set to not more than ±5% as the quality stability determination standard. When it is monitored that the fluctuation of a certain index exceeds the limit, the feed pump frequency is adjusted to reduce the feed speed, and the residence time of the waste liquid in the tank is extended to 30-60 minutes, until the fluctuation of each index returns to the limited range. The treated waste liquid with stable quality indexes is output from the outlet of the buffer tank, and details are not described here.

[0049] It should be noted that in this application, the homogenization buffer treatment refers to a pretreatment operation for stabilizing key quality indexes of the chemical production waste liquid and eliminating the interference of component fluctuation on the treatment process; the quality index stability refers to the fluctuation range of the key parameters of the chemical production waste liquid being in a stable operation state; and the treated waste liquid refers to the chemical production waste liquid after the homogenization buffer treatment, which meets the stable standard and can enter the oxidation and flocculation processes.

[0050] In addition, in a specific implementation, the oxidizing agent medium can be added to the electrochemical oxidation unit of the treated waste liquid inflow section in the following manner: hydrogen peroxide with a concentration of 30% can be selected as the oxidizing agent medium, a metering pump with a model of JZM-A and a flow range of 0-50 L / h is used to accurately deliver the oxidizing agent medium into the inflow pipeline at the front end of the electrochemical oxidation unit, the addition amount is calculated as 1.2 times the chemical oxygen demand (COD) value of the treated waste liquid, and the oxidizing agent medium and the treated waste liquid are fully mixed by continuous dripping, and then the mixed waste liquid flows into the electrochemical oxidation unit for reaction.

[0051] It should be noted that in this application, the electrochemical oxidation unit refers to a treatment device that uses electrode reaction as the core and drives the oxidation-reduction reaction through the action of an electric field to degrade the refractory pollutants in the waste liquid; and the oxidizing agent medium refers to a chemical substance that can strengthen the electrochemical oxidation reaction, destroy the chemical structure of the pollutants, and create favorable conditions for flocculation reaction.

[0052] In step S2, the coagulation load data of the treated waste liquid with stable quality indexes under the action of the oxidizing agent medium is collected, and the amount of flocculant supplement required by the treated waste liquid in the current oxidation reaction process is determined by the coagulation load data and the real-time flocculation potential index in the electrochemical oxidation process.

[0053] In the present embodiment, the coagulation load data of the waste liquid to be treated under the action of the oxidant medium can be obtained by the following steps:

[0054] According to the waste liquid to be treated and the oxidant medium, the particle coagulation characteristics in the waste liquid are determined;

[0055] According to the particle coagulation characteristics, the oxidant dosage under the action of the oxidant medium is determined;

[0056] According to the oxidant dosage, the coagulation load data under the action of the oxidant medium is determined.

[0057] In specific implementation, first, 100 mL of the waste liquid to be treated with stable quality indicators is taken as a basic sample, which is divided into 5 groups and placed in experimental containers of the same specification, and a small amount of selected oxidant medium is added to each group for pre-mixing. The particle size distribution of each group of samples at 0 minutes, 5 minutes, 10 minutes, and 15 minutes of reaction is measured by a laser particle size analyzer, and the morphology (such as loose type and tight type) and agglomeration degree of the coagulum are observed and recorded by a biological microscope. Combined with the stable quality indicators of the waste liquid to be treated, such as chemical oxygen demand and turbidity, the change rule of particle size with reaction time and the adaptation relationship between coagulum morphology and pollutant type are analyzed, and finally the particle coagulation characteristics of the waste liquid under the action of the oxidant medium are obtained. Then, based on the particle coagulation characteristics, five oxidant dosage gradients (the gradient range can be set according to 0.8-2.2 times of the chemical oxygen demand value) are designed. Five groups of waste liquid to be treated with the same volume and stable quality indicators are taken, and the oxidant medium is added according to the gradient, and the reaction is carried out under the same temperature and stirring conditions as the actual treatment conditions. The change of particle coagulation characteristics is monitored every 5 minutes by the detection method of the first step, and when the particle size of the coagulum reaches the maximum and the morphology is stable, and the generation rate tends to be flat, the corresponding dosage is recorded. At the same time, three parallel experiments are carried out to verify the repeatability of the coagulation characteristics under the dosage, and finally the optimal oxidant dosage suitable for the particle coagulation characteristics is determined, that is, the oxidant dosage under the action of the oxidant medium is obtained. Finally, the oxidant medium is continuously added according to the optimal oxidant dosage, and data collection is started after stabilization. 50 mL of reaction liquid sample is taken from the middle sampling port of the electrochemical oxidation unit every 10 minutes, the sample is filtered through a 0.45 μm filter membrane which has been dried to a constant weight, and the coagulum on the filter membrane is collected. The filter membrane loaded with coagulum is placed in a 105°C oven and dried for 2 hours to a constant weight, then cooled to room temperature and weighed by an electronic balance, and the mass difference before and after the filter membrane is calculated as the mass of the coagulum. Combined with the sampling volume and sampling interval time, the mass of the coagulum generated per unit time per unit volume of waste liquid is calculated, and 12 groups of data are obtained by continuous monitoring for 2 hours, and the average value is taken as the coagulation load data under the action of the oxidant medium.

[0058] It should be noted that in the present application, the particle agglomeration characteristics refer to the characteristics of the particle size, morphology and generation rate of the pollutants in the waste liquid to be treated with stable quality index forming agglomerates under the action of the oxidant; the oxidant dosage refers to the amount of oxidant added to ensure that the agglomeration reaction proceeds sufficiently; and the agglomeration load data refers to the data of the mass of agglomerates generated per unit time per unit volume of waste liquid to be treated under the action of the oxidant.

[0059] Preferably, in the present embodiment, the amount of flocculant to be added to the waste liquid to be treated in the current oxidation reaction process is determined by the agglomeration load data and the real-time flocculation potential index in the electrochemical oxidation process, and the amount of flocculant to be added to the waste liquid to be treated in the current oxidation reaction process is determined by the agglomeration load data and the real-time flocculation potential index in the electrochemical oxidation process, as shown in Figure 2 The figure is a flowchart for determining the amount of flocculant to be added in some embodiments of the present application, and the amount of flocculant to be added in the present embodiment can be realized by the following steps:

[0060] In step S21, the flocculation potential reference value of the waste liquid to be treated in the electrochemical oxidation process is determined according to the agglomeration load data;

[0061] In step S22, the real-time flocculation potential index in the electrochemical oxidation process is determined;

[0062] In step S23, the flocculation feedback information of the waste liquid to be treated in the current oxidation reaction process is determined according to the flocculation potential reference value and the flocculation potential index;

[0063] In step S24, the amount of flocculant to be added to the waste liquid to be treated in the current oxidation reaction process is determined by the flocculation feedback information.

[0064] In specific implementation, first, a plurality of groups of experimental samples corresponding to different coagulation load data are collected, each group of samples adopts electrochemical oxidation conditions consistent with actual treatment. For each group of samples, by gradient addition of flocculant, the corresponding flocculation potential and settling velocity are determined after each addition, and the flocculation potential value that makes the settling velocity fastest under each group of coagulation load data is recorded. The plurality of groups of data are imported into a data processing software, a linear regression model of coagulation load data and corresponding optimal flocculation potential value is established, the model correlation is verified through three groups of parallel experiments, and finally based on the model, the current actually collected coagulation load data is input to calculate the corresponding flocculation potential reference value. Then, the detection probe of the Zeta potential instrument is installed in the flow cell of the outlet pipeline of the electrochemical oxidation unit, ensuring that the probe is in full contact with the reaction liquid and does not affect the liquid flow. The monitoring frequency of the instrument is set to once every 5 minutes, and the instrument is calibrated with a standard potential calibration liquid before monitoring to ensure detection accuracy. After starting the monitoring program, the instrument automatically collects the Zeta potential data of colloidal particles in the reaction liquid, and the data are uploaded in real time to the control system through the transmission line. The system automatically records the value, time and corresponding coagulation load data of each monitoring, forming a real-time flocculation potential index in the electrochemical oxidation process. Then, the flocculation feedback information calculation logic is preset, that is, taking the flocculation potential reference value as the standard, the difference between the real-time flocculation potential index and the reference value is calculated, and the corresponding duration of the difference is combined. If the real-time value is higher than the reference value, it means that the charge of colloidal particles is not completely neutralized, and the flocculation effect is insufficient, and the feedback information is “need to increase the addition of flocculant” and the corresponding difference proportion; if the real-time value is lower than the reference value, it means that the flocculant may be excessive, and the feedback information is “need to reduce the addition of flocculant” and the corresponding difference proportion; if the difference is within the allowed range, the feedback is “maintain the current addition amount”, and each feedback information and the corresponding monitoring data are recorded, that is, the flocculation feedback information of the waste liquid to be treated in the current oxidation reaction process is obtained. Finally, a flocculant supplement amount calculation model is established, which takes the difference proportion in the flocculation feedback information as the core variable, and introduces a proportion coefficient (the proportion coefficient can be determined through a plurality of orthogonal experiments: set different combinations of difference proportions and proportion coefficients, test the flocculation effect, and select the coefficient that makes the settling velocity optimal as the proportion coefficient). If the feedback information is “need to increase the addition”, the supplement amount = current basic addition amount × (1 + difference proportion × proportion coefficient); if it is “need to reduce the addition”, the supplement amount = current basic addition amount × (1 - difference proportion × proportion coefficient); if it is “maintain”, the supplement amount remains unchanged. After calculation, the supplement amount signal is transmitted to the flocculant addition metering pump, the metering pump automatically adjusts the operating parameters to realize precise addition, and at the same time, the supplement amount and the corresponding feedback information of each adjustment are recorded, that is, the required flocculant supplement amount of the waste liquid to be treated in the current oxidation reaction process is obtained.

[0065] It should be noted that in the present application, the flocculation potential index refers to a dynamic parameter continuously monitored during electrochemical oxidation, reflecting the surface charge state of colloidal particles in the waste liquid to be treated; the flocculation potential reference value refers to the standard value of the flocculation potential that makes the flocculation reaction achieve the best sedimentation effect; the flocculation feedback information refers to the information about the degree of deviation of the current flocculation reaction from the optimal state; and the flocculant supplement amount refers to the amount of flocculant added to adapt to the flocculation demand in the current oxidation reaction and to ensure efficient sedimentation of pollutants.

[0066] In step S3, the sedimentation interference characteristics of the sedimentation concentration information of the dynamic coexistence of pollutants in the chemical waste liquid on the sedimentation process are determined, the adsorption response trend of the flocculation and sedimentation process in the constant pollutant adsorption rate is predicted according to the sedimentation interference characteristics, the adsorption response trend is matched with the filtering mechanism, and the filtering and separation strategy of the multi-stage combined separation process under the adsorption load of pollutants is obtained.

[0067] In the present embodiment, the sedimentation interference characteristics of the sedimentation concentration information of the dynamic coexistence of pollutants in the chemical waste liquid on the sedimentation process can be realized by the following steps:

[0068] A simulated water sample containing multiple dynamically coexisting pollutants is configured, and the sedimentation process is simulated under controllable conditions;

[0069] The real-time sedimentation concentration information in the simulated sedimentation process is monitored synchronously, and the corresponding dynamic coexistence concentration of pollutants is recorded.

[0070] The sedimentation interference characteristics of the sedimentation process are determined according to the real-time sedimentation concentration information and the dynamic coexistence concentration of pollutants.

[0071] In a specific implementation, first, actual chemical production waste liquid is collected, and the types (such as heavy metal ions, phenolic organic matter, and suspended particulate matter) and initial concentration ratios of the main pollutants therein are determined through laboratory testing. Referring to the initial concentration ratios, corresponding analytical reagents are selected, and multiple groups of chemical waste liquid simulation water samples are prepared using deionized water, each group of water samples containing the above-mentioned multiple pollutants and having different concentration gradients to cover the concentration fluctuation range of the actual waste liquid. A small-scale precipitation experimental device consistent with the structure of the actual treatment system is selected, and controllable conditions are set: the temperature in the device is fixed at the conventional temperature of the actual treatment working condition, the stirring speed is set to a constant value that can uniformly mix the pollutants, the pH value of the water sample is adjusted to the commonly used range of the actual precipitation process by an acid-alkali solution, and then the device is started to simulate the precipitation process according to the running process (such as gravity sedimentation) of the actual precipitation process. Then, a settling velocity tester and an online turbidity meter are installed at different height positions of the simulated precipitation experimental device, and a multi-parameter pollutant concentration monitor is installed at the sampling port of the device. The monitoring frequency is set to once every 5 minutes, after the simulated precipitation is started, the settling velocity tester detects the settling velocity of the pollutants at different stages in real time, the online turbidity meter synchronously monitors the turbidity of the supernatant, and at the same time, the water sample is collected through the sampling port, and the real-time concentration of each coexisting pollutant is detected by using the pollutant concentration monitor. All monitoring data are recorded synchronously through a data acquisition system to establish a corresponding database of “monitoring time-real-time settling concentration information-dynamic coexisting pollutant concentration”, ensuring that each group of settling data can be matched to the corresponding pollutant concentration state. Finally, the settling concentration information of the single pollutant simulation water sample (containing only one target pollutant) is extracted from the database as the reference data, and compared with the real-time settling concentration information of the simulation water sample with multiple coexisting pollutants. The settling velocity difference and the supernatant turbidity difference between the coexisting water sample and the reference water sample at the same monitoring time point are calculated, and at the same time, the corresponding dynamic coexisting pollutant concentration change is combined: if the concentration of a certain type of pollutant increases, the settling velocity significantly decreases and the supernatant turbidity does not significantly increase, it is determined as complexation interference (the pollutants form complexes to hinder settling); if the concentration of a certain type of pollutant increases, the supernatant turbidity significantly increases and the settling velocity does not significantly decrease, it is determined as adsorption interference (suspended matter adsorbs pollutants to cause the supernatant to be turbid). The repeatability of the determination result is verified through three groups of parallel experiments, and finally the precipitation interference characteristics generated in the precipitation process are obtained.

[0072] It should be noted that, in this application, "dynamic coexistence of pollutants" refers to a mixed pollutant system in chemical waste liquid where heavy metals, organic matter, and suspended solids interact and their concentrations change dynamically as the reaction progresses; "sedimentation concentration information" refers to data reflecting the sedimentation effect of pollutants; "sedimentation process" refers to the process in the chemical waste liquid treatment flow where pollutant aggregates are separated by sedimentation through gravity and auxiliary conditions; "simulated chemical waste liquid water sample" refers to an experimental water sample artificially prepared according to the actual chemical waste liquid composition ratio, which can reproduce the dynamic coexistence characteristics of pollutants; "controllable conditions" refers to the experimental environment in which the temperature, stirring speed, and pH value of the sedimentation process are fixedly controlled to eliminate interference from irrelevant factors; "real-time sedimentation concentration information" refers to data continuously monitored during the simulated sedimentation process, reflecting the sedimentation effect of pollutants; "dynamic pollutant coexistence concentration" refers to the specific concentration values ​​of each coexisting pollutant detected in real time at different stages of the simulated sedimentation; and "sedimentation interference characteristics" refers to the influencing factors that lead to a decrease in sedimentation efficiency.

[0073] Preferably, in this embodiment, the adsorption response trend of the flocculation and sedimentation process at a constant pollutant adsorption rate is predicted based on the precipitation interference characteristics, with reference to... Figure 3 As shown in the figure, this is a flowchart illustrating the process of determining the adsorption response trend in some embodiments of this application. In this embodiment, the determination of the adsorption response trend can be achieved using the following steps:

[0074] In step S31, a flocculation and sedimentation test environment simulating a constant pollutant adsorption rate is constructed based on the sedimentation interference characteristics.

[0075] In step S32, the dynamic adsorption capacity of the flocs and the real-time removal rate of the target pollutants are monitored simultaneously in the flocculation and sedimentation test environment.

[0076] In step S33, the adsorption offset in the constant pollutant adsorption rate is determined based on the dynamic adsorption capacity and the real-time removal rate.

[0077] In step S34, the adsorption response trend of the flocculation and sedimentation process at a constant pollutant adsorption rate is predicted based on the adsorption offset.

[0078] In a specific implementation, first, according to the identified precipitation interference characteristic type (such as complexation interference or adsorption interference), referring to the actual chemical waste liquid target pollutant species and initial concentration, an analytical reagent and deionized water are used to configure a simulated water sample containing corresponding dynamic coexisting pollutants. A small-scale flocculation and precipitation experimental device consistent with the structure of the actual treatment system is selected. A high-precision metering pump is used to continuously add target pollutant mother liquor into the device to maintain the stability of the target pollutant concentration in the water sample and ensure the constant adsorption rate. At the same time, the experimental temperature, pH value, and stirring speed are fixed as the conventional parameters of the actual working conditions. The identified precipitation interference characteristics (such as the concentration ratio of corresponding heavy metals and organic matter for complexation interference) are introduced into the water sample to complete the controllable flocculation and precipitation test environment. Next, after starting the test environment, a monitoring period of 5 minutes is set. In each period, a certain volume of reaction liquid is collected through the sampling port of the device, and the flocculation body is separated by filtering the reaction liquid through a 0.45 μm filter membrane. The filter membrane and flocculation body are dried to a constant weight and then weighed to calculate the mass of the flocculation body. The total mass of the target pollutant in the flocculation body is determined by the microwave digestion-atomic absorption spectrophotometry method, and the ratio of the two is the dynamic adsorption capacity of the period. At the same time, the online pollutant concentration monitor is used to collect the target pollutant concentration at the inlet and outlet of the device in real time, and the real-time removal rate of the target pollutant is calculated and recorded simultaneously according to the formula “real-time removal rate = (inlet concentration-outlet concentration) / inlet concentration × 100%”. Then, the precipitation interference characteristics are removed in the same test environment to obtain the baseline values of the dynamic adsorption capacity and the real-time removal rate of different periods under the interference-free state. Subsequently, for each monitoring period, the difference between the actual dynamic adsorption capacity and the baseline value, and the difference between the actual real-time removal rate and the baseline value are calculated, and then the adsorption deviation is calculated according to the formula “adsorption deviation = (actual value-baseline value) / baseline value × 100%” in the constant pollutant adsorption rate, which quantifies the influence degree of the precipitation interference on the adsorption process. Finally, the adsorption deviation is introduced into the data processing software, and the change curve is drawn with the monitoring period as the horizontal coordinate and the dynamic adsorption capacity deviation and the real-time removal rate deviation as the vertical coordinate. The change rule of the deviation is analyzed by curve fitting: if the deviation gradually increases (the absolute value of the negative value becomes larger) with the extension of the period, it means that the adsorption efficiency continues to decline, and the prediction trend is “adsorption attenuation type”; if the fluctuation amplitude of the deviation is less than the set threshold, it means that the adsorption efficiency is basically stable, and the prediction trend is “adsorption gentle type”. At the same time, three groups of parallel experiments are carried out to verify the correlation and repeatability of the fitted curve and ensure the reliability of the prediction trend, that is, the adsorption response trend of the flocculation and precipitation process in the constant pollutant adsorption rate is obtained.

[0079] It should be noted that in the present application, the flocculation and sedimentation process refers to a treatment process in which flocculants are added to waste liquid to form flocculation bodies, and then solid-liquid separation is achieved through sedimentation; the constant adsorption rate of pollutants refers to an adsorption state in which the adsorption rate of pollutants is maintained stable and disturbances caused by concentration fluctuations are excluded; the flocculation and sedimentation test environment refers to a controllable experimental environment in which actual flocculation and sedimentation conditions are reproduced, the adsorption rate of pollutants is fixed, and known sedimentation interference characteristics are introduced; the dynamic adsorption capacity refers to the mass of target pollutants that can be adsorbed by unit mass of flocculation bodies in real time during the flocculation and sedimentation process; the real-time removal rate refers to the ratio of the mass of target pollutants that have been removed to the initial total mass during the flocculation and sedimentation process; the adsorption deviation refers to the deviation degree of the dynamic adsorption capacity, the real-time removal rate in the actual adsorption process, and the reference value when there is no sedimentation interference; and the adsorption response trend refers to the evolution direction of adsorption efficiency in the flocculation and sedimentation process under a constant adsorption rate.

[0080] In the present embodiment, the adsorption response trend is matched with a filtering mechanism to obtain a filtering separation strategy of a multi-stage combined separation process under a pollutant adsorption load. The filtering separation strategy can be achieved by the following steps:

[0081] According to the adsorption response trend and the separation characteristics of a plurality of filtering mechanisms, adsorption-filtering correlation information in the multi-stage combined separation process is determined.

[0082] Through the adsorption-filtering correlation information, a complementary relationship of different filtering mechanisms under a pollutant adsorption load is determined.

[0083] Based on the complementary relationship, a filtering separation strategy of a multi-stage combined separation process under a pollutant adsorption load is generated.

[0084] In specific implementation, first, according to common filtering mechanisms (such as pH adjustment breakage mechanism, coagulant enhanced coagulation mechanism, pressure precipitation separation mechanism, ultrafiltration membrane interception mechanism), through literature research and pre-experiment, the separation characteristic data of each mechanism is obtained, including the applicable adsorption response trend type, the tolerance to different adsorption load, and the pollutant removal particle size range. Then, the predicted adsorption response trend (such as adsorption attenuation type, adsorption gentle type) is classified, for each type of trend, the core reason (such as complex interference, fine particle residue) leading to the decline of adsorption efficiency is analyzed, and the adaptability of the separation characteristics of each type of filtering mechanism to the reason is compared. By establishing a two-dimensional correlation matrix, the horizontal direction is the adsorption response trend type, the vertical direction is the filtering mechanism, and the matrix element is the adaptability score (based on the removal rate improvement effect), finally the combination with adaptability ≥ set threshold is selected, and the adsorption-filtering correlation information is formed. Then, multiple filtering mechanisms suitable for the target adsorption response trend are selected, and multiple sets of single mechanism and combined mechanism comparison experiments are designed. Under different pollutant adsorption load gradients (covering low, medium and high load scenes in actual treatment), the treatment efficiency (such as pollutant removal rate, operation stability) of single mechanism is tested, and then the efficiency of different mechanism combinations is tested. Through comparative analysis: if mechanism A has good breakage effect under low adsorption load but is insufficient in removing fine particles, mechanism B can enhance the coagulation of fine particles under medium and high load, and the removal rate of the combination of the two is significantly higher than that of single mechanism, then it is determined that A and B have complementary relationship. All suitable mechanisms are tested in pairs and threes according to this method, and the complementary effect data under different loads are recorded, and finally the efficiency complementary relationship of different filtering mechanisms under pollutant adsorption load is formed. Finally, according to the efficiency complementary relationship library, the mechanism order of multi-stage combined separation is determined: according to the logic of “first solve the core interference → then strengthen the particle separation → finally intercept deeply”, the filtering mechanisms are sorted (such as first pH adjustment breakage mechanism → then coagulant enhanced coagulation mechanism → then pressure precipitation separation mechanism → finally ultrafiltration membrane interception mechanism). For different pollutant adsorption loads, set the operation parameters of each stage: under low load, reduce the operation intensity of the previous mechanism (such as reduce the coagulant dosage); under medium and high load, improve the operation parameters of the key mechanism (such as increase the pressure precipitation pressure, increase the ultrafiltration membrane flux). At the same time, the separation indicators of each stage (such as the pollutant removal rate of the first stage outlet ≥ set value to enter the next stage) are determined, the parameter adjustment rules under load fluctuation (such as prolonging the pressure precipitation residence time under high load) are formulated, and the filtering separation strategy of multi-stage combined separation process under pollutant adsorption load is integrated.

[0085] It should be noted that in the present application, the filtering mechanism matching refers to the correlation process of screening the appropriate filtering mechanism to eliminate the interference of precipitation and restore the adsorption efficiency according to the type and cause of adsorption; the multi-stage combined separation process refers to the separation process flow of combining multiple filtering mechanisms in a complementary relationship and processing in stages; the pollutant adsorption load refers to the amount of pollutants adsorbed by unit mass of separation medium; the separation characteristic refers to the inherent property of each type of filtering mechanism under the pollutant adsorption load; the adsorption-filtering correlation information refers to the corresponding relationship between the adsorption response trend and the separation characteristic of the filtering mechanism; the performance complementary relationship refers to the mutual complementary characteristics of different filtering mechanisms in processing performance; and the filtering separation strategy refers to the combination order of the filtering mechanism and the execution criteria of the operation parameters of each stage.

[0086] In step S4, a settling separation index during performance fluctuation in the multi-stage processing process is generated according to the flocculant supplement amount and the filtering separation strategy, and then the processing procedure of the chemical production waste liquid is guided and adjusted according to the settling separation index.

[0087] In the present embodiment, the settling separation index during performance fluctuation in the multi-stage processing process can be generated according to the flocculant supplement amount and the filtering separation strategy by the following steps:

[0088] The cooperative processing period in the multi-stage processing process is determined according to the flocculant supplement amount and the filtering separation strategy;

[0089] The settling fluctuation characteristic during performance fluctuation in the multi-stage processing process is monitored synchronously in the cooperative processing period;

[0090] The settling separation index during performance fluctuation in the multi-stage processing process is determined through the settling fluctuation characteristic.

[0091] In specific implementation, first, the effective time of the current flocculant addition amount is determined by experiment: the flocculant is added to the simulated water sample according to the actual addition ratio, the coagulation state of pollutants is monitored every fixed time until the coagulation body shape is stable and the settling velocity no longer changes obviously, and the time is recorded as the flocculant effective time. The design residence time of each separation unit in the filtration separation strategy is extracted, and the longest residence time is taken as the filtration link reference time. The flocculant effective time is compared with the filtration link reference time, and three groups of different collaborative treatment periods (the maximum value, 1.2 times of the maximum value, and 0.8 times of the maximum value) are designed. The pollutant removal rate and stability under each period are tested in the actual treatment system. The period with the highest removal rate and the smallest fluctuation is selected as the collaborative treatment period in the multi-stage treatment process. Then, a settling velocity tester, an online turbidity meter, and a sediment layer thickness monitor are installed at the inlet and outlet of each separation unit in the multi-stage treatment process and the final outlet. The monitoring frequency is set to every 3 minutes, and the instrument automatically continues to collect data after the collaborative treatment period starts. At the same time, the adjustment of the flocculant addition amount and the fluctuation data of the pollutant adsorption load (such as the change of the influent concentration) are recorded by the control system, and these efficiency fluctuation causes are associated with the settling data. During the monitoring process, the peak and valley values of the settling velocity, the fluctuation amplitude of the supernatant turbidity, and the uniformity change of the sediment layer thickness are recorded, forming a three-dimensional data set of “time-settling parameter-efficiency fluctuation cause”. This three-dimensional data set is used as the settling fluctuation characteristics during the efficiency fluctuation in the multi-stage treatment process. Finally, the settling fluctuation characteristic data in the collaborative treatment period is statistically analyzed: the average value and the maximum fluctuation amplitude of the settling velocity, the average value and the peak value of the supernatant turbidity, and the uniformity parameter of the sediment layer thickness are calculated. According to the requirements of the national chemical wastewater discharge standard for effluent turbidity and pollutant removal rate, the average value of the settling velocity minus 1 times the maximum fluctuation amplitude is taken as the lower limit of the settling velocity index; the average value of the supernatant turbidity plus 1 times the peak fluctuation is taken as the upper limit of the turbidity index; and the allowable deviation range of the sediment layer thickness is set according to the sediment layer uniformity parameter. These parameters are integrated to form a settling separation index system including the minimum value of the settling velocity, the maximum value of the supernatant turbidity, and the allowable deviation of the sediment layer thickness. Through verification experiments of three groups of different efficiency fluctuation scenarios (low load fluctuation, medium load fluctuation, and high load fluctuation), the index parameters are adjusted to ensure that the effluent meets the standard when the index requirements are met under various fluctuation conditions, i.e., the settling separation index during the efficiency fluctuation in the multi-stage treatment process is obtained.

[0092] It should be noted that in the present application, the efficiency fluctuation refers to the dynamic change of treatment efficiency caused by influent concentration and adsorption load in the multi-stage treatment process; the synergistic treatment period refers to the minimum time unit that ensures the synergistic effect of the adaptation of flocculant addition amount and the operation requirements of each stage of the filtration separation strategy; the settling fluctuation characteristic refers to the dynamic change of the settling velocity, supernatant turbidity, and uniformity of the sediment layer caused by the fluctuation of treatment efficiency; and the settling separation index refers to the quantitative standard for evaluating the stability of multi-stage treatment efficiency.

[0093] In addition, when specifically implemented, the guiding adjustment of the treatment process of the chemical production waste liquid by the settling separation index can be realized in the following manner, that is, first, at the inlet and outlet of each separation unit and the final effluent end of the chemical production waste liquid treatment process, real-time settling separation data is continuously collected by a settling velocity tester, an online turbidity meter, and a sediment layer thickness monitor, and the collected data is compared with the preset settling separation index (including the minimum settling velocity, the maximum supernatant turbidity, and the allowable deviation range of the sediment layer thickness) in real time. If the real-time settling velocity is lower than the lower limit of the index, the running power of the flocculant dosing pump is increased by the control system to increase the flocculant addition amount, and the feed rate of the homogenizing buffer tank is adjusted to prolong the residence time, thereby ensuring sufficient coagulation of the waste liquid. If the actual supernatant turbidity is higher than the upper limit of the index, the oxidant medium addition amount of the electrochemical oxidation unit is checked, the addition amount is increased by the metering pump, and the electrode current density is appropriately increased to strengthen the oxidation effect, and the operating parameters of the multi-stage separation unit (such as the pressure sedimentation pressure and the ultrafiltration membrane operating flux) are adjusted according to the filtration separation strategy. If the sediment layer thickness exceeds the allowable deviation range, the stirring speed and residence time of the multi-stage separation unit are adjusted, and the corresponding pH adjuster or coagulant aid is supplemented according to the complexation or adsorption interference characteristics. After all the adjustment actions are performed, the settling separation index is continuously monitored until the data returns to the preset index range, and the corresponding relationship between the adjustment parameters and the index changes is recorded simultaneously to form a dynamic adjustment log, thereby completing the guiding adjustment of the treatment process of the chemical production waste liquid.

[0094] It should be noted that in the present application, the treatment process of the chemical production waste liquid refers to the complete treatment process including homogenizing buffer, electrochemical oxidation, flocculation sedimentation, and multi-stage combined separation; and the guiding adjustment refers to the regulation and control process of dynamically adjusting the treatment process parameters based on the settling separation index to ensure that the pollutants can be efficiently separated stably even when the efficiency fluctuates.

[0095] It can be seen that in the present application, the removal efficiency of pollutants can be improved under the working condition of dynamic coexistence of pollutants and easy fluctuation of water quality. The adverse effects caused by the fluctuation of components of the chemical production waste liquid are effectively eliminated by implementing homogeneous buffer treatment, and a homogeneous treatment object is provided for subsequent treatment processes. At the same time, an oxidizing agent medium is added to the inflow section of the electrochemical oxidation unit to strengthen the oxidation and degradation effect of the refractory pollutants and promote the coagulation of the pollutants. By collecting the coagulation load data and linking it with the real-time flocculation potential index in the electrochemical oxidation process, the dynamic and accurate calculation and addition of the coagulant supplement amount are realized, avoiding the problems of insufficient or excessive addition caused by relying on a single water quality index to control the coagulant addition, and ensuring the efficient progress of the flocculation reaction. By accurately identifying the precipitation interference characteristics caused by the dynamic coexistence of pollutants, predicting the adsorption response trend and matching the exclusive filtering mechanism, the filtering and separation strategy of the multi-stage combined separation process is developed, solving the problem of incomplete separation of pollutants caused by ignoring the precipitation interference and lack of targeted separation scheme, and improving the separation stability under different adsorption loads. Based on the flocculant supplement amount and the filtering and separation strategy, the sedimentation separation index with adaptive efficiency fluctuation is generated, and the treatment process is dynamically guided and adjusted, realizing the precise linkage and collaborative operation of each treatment link, and improving the effluent standard rate of the chemical production waste liquid treatment.

[0096] In summary, the technical solution adopted by the present application can precisely regulate the separation strategy of the treatment process under the working condition of complex and dynamically fluctuating components of the chemical waste liquid, so as to improve the stability of the chemical production waste liquid treatment.

[0097] In embodiment two, the present application provides a chemical production waste liquid treatment system, as shown in Figure 4 The figure is a module structure diagram of a chemical production waste liquid treatment system according to the present embodiment, which comprises:

[0098] The homogeneous buffer module 100 is used for homogeneous buffer treatment of the chemical production waste liquid to obtain the treated waste liquid with stable quality indexes, and at the same time, an oxidizing agent medium is added to the electrochemical oxidation unit of the inflow section of the treated waste liquid;

[0099] The flocculant adjustment module 200 is used for collecting the coagulation load data of the treated waste liquid with stable quality indexes under the action of the oxidizing agent medium, and determining the required coagulant supplement amount of the treated waste liquid in the current oxidation reaction process through the coagulation load data and the real-time flocculation potential index in the electrochemical oxidation process;

[0100] The filtering mechanism matching module 300 is configured to determine the sedimentation interference characteristics of the settling concentration information of the pollutants dynamically coexisting in the chemical waste liquid on the sedimentation process, predict the adsorption response trend of the flocculation and sedimentation process in the constant pollutant adsorption rate according to the sedimentation interference characteristics, perform filtering mechanism matching on the adsorption response trend, and obtain the filtering and separation strategy of the multistage combined separation process under the pollutant adsorption load.

[0101] The process guiding module 400 is configured to generate the settling separation index in the efficiency fluctuation of the multistage treatment process according to the flocculant supplement amount and the filtering and separation strategy, and then guide and adjust the treatment process of the chemical production waste liquid according to the settling separation index.

[0102] The present application is described with reference to flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device realize functions specified in the flowcharts and / or block diagrams. Figure 1 The device for realizing the functions specified in one flow or multiple flows and / or blocks Figure 1 The device for realizing the functions specified in one flow or multiple flows and / or blocks

[0103] Those skilled in the art can understand that all or part of the steps of various methods in the above embodiments can be completed by instructing the relevant hardware by means of a program, and the program can be stored in a computer readable storage medium, including Read-Only Memory (ROM), Random Access Memory (RAM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), One-time Programmable Read-Only Memory (OTPROM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Compact Disc Read-Only Memory (CD-ROM) or other optical disk storage, magnetic disk storage, magnetic tape storage, or any other medium that can be used to carry or store data in a computer readable manner.

[0104] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising a" does not exclude the existence of additional identical elements in the process, method, article, or apparatus that includes the element.

Claims

1. A method for treating chemical production waste liquid, characterized by, The chemical production waste liquid treatment method comprises the following steps: The homogeneous buffer treatment is performed on the chemical production waste liquid to obtain the waste liquid to be treated with stable quality indexes, and an oxidant medium is added into an electrochemical oxidation unit of a waste liquid inflow section of the waste liquid to be treated; The particle coagulation characteristics of the waste liquid to be treated are determined according to the waste liquid to be treated with stable quality indexes and the oxidant medium, the oxidant addition amount under the action of the oxidant medium is determined according to the particle coagulation characteristics, the coagulation load data under the action of the oxidant medium is determined according to the oxidant addition amount, the flocculant supplement amount required by the waste liquid to be treated in the current oxidation reaction process is determined through the coagulation load data and a real-time flocculation potential index in the electrochemical oxidation process, wherein the coagulation load data refers to the data of the mass of coagulants generated per unit time and per unit volume of the waste liquid to be treated under the action of the oxidant, and the flocculation potential index refers to a dynamic parameter reflecting the surface charge state of colloidal particles in the waste liquid to be treated which is continuously monitored in the electrochemical oxidation process; The settling concentration information of the dynamically coexisting pollutants in the chemical waste liquid is determined, the settling interference characteristics generated by the settling process are determined, the adsorption response trend of the flocculation settling process in the constant pollutant adsorption rate is predicted according to the settling interference characteristics, the adsorption-filtration correlation information in the multi-stage combined separation process is determined according to the adsorption response trend and the separation characteristics of multiple filtration mechanisms, the performance complementary relationship of different filtration mechanisms under the pollutant adsorption load is determined through the adsorption-filtration correlation information, and the filtration separation strategy of the multi-stage combined separation process under the pollutant adsorption load is generated based on the performance complementary relationship; The synergistic treatment cycle in the multi-stage treatment process is determined according to the flocculant supplement amount and the filtration separation strategy, the settling fluctuation characteristics in the performance fluctuation of the multi-stage treatment process are synchronously monitored in the synergistic treatment cycle, the settling separation index in the performance fluctuation of the multi-stage treatment process is determined through the settling fluctuation characteristics, and then the treatment process of the chemical production waste liquid is guided and adjusted according to the settling separation index, wherein the settling fluctuation characteristics refer to the dynamic change performances of the settling speed, the supernatant turbidity and the uniformity of the sediment layer caused by the fluctuation of the treatment performance.

2. The method for treating chemical production waste liquid according to claim 1, characterized in that, The homogeneous buffer treatment refers to a pretreatment operation performed to stabilize the key quality indexes of the chemical production waste liquid and eliminate the interference of component fluctuation on the treatment process.

3. The method for treating chemical industrial waste liquid according to claim 1, characterized in that, The electrochemical oxidation unit refers to a treatment device taking an electrode reaction as the core and driving the oxidation-reduction reaction through the action of an electric field to degrade the refractory pollutants in the waste liquid.

4. The method for treating chemical industrial waste liquid according to claim 1, characterized in that, The settling interference characteristics generated by the settling process of the dynamically coexisting pollutants in the chemical waste liquid specifically include: A simulated water sample containing multiple dynamically coexisting pollutants is configured, and a settling process is simulated under controllable conditions; Real-time settling concentration information in the simulated settling process is synchronously monitored, and corresponding dynamically coexisting pollutant concentrations are recorded; The settling interference characteristics generated by the settling process are determined according to the real-time settling concentration information and the dynamically coexisting pollutant concentrations.

5. The method for treating chemical industrial waste liquid according to claim 1, characterized in that, The adsorption response trend refers to the evolution direction of the adsorption performance in the flocculation settling process under the constant adsorption rate.

6. A chemical industrial waste liquid treatment system for performing the chemical industrial waste liquid treatment method according to any one of claims 1 to 5, characterized by, The chemical production waste liquid treatment system comprises: A homogeneous buffer module is configured to perform homogeneous buffer treatment on the chemical production waste liquid to obtain treated waste liquid with stable quality indexes, and to add an oxidizing agent medium to an electrochemical oxidation unit of a treated waste liquid inflow section; A flocculant adjustment module is configured to collect agglomeration load data of the treated waste liquid under the action of the oxidizing agent medium, and to determine a required flocculant supplement amount of the treated waste liquid in a current oxidation reaction process by comparing the agglomeration load data with a real-time flocculation potential index in an electrochemical oxidation process; A filtration mechanism matching module is configured to determine sedimentation interference characteristics of a sedimentation process generated by sedimentation concentration information of dynamically coexisting pollutants in the chemical waste liquid, to predict an adsorption response trend of a flocculation and sedimentation process in a constant pollutant adsorption rate according to the sedimentation interference characteristics, to perform filtration mechanism matching on the adsorption response trend, and to obtain a filtration and separation strategy of a multi-stage combined separation process under a pollutant adsorption load; A process guiding module is configured to generate a sedimentation and separation index of a multi-stage treatment process in an efficiency fluctuation state according to the flocculant supplement amount and the filtration and separation strategy, and to guide and adjust a treatment process of the chemical production waste liquid according to the sedimentation and separation index.

Images