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CN-122010286-A - Advanced treatment method and system for standard emission of petrochemical wastewater

CN122010286ACN 122010286 ACN122010286 ACN 122010286ACN-122010286-A

Abstract

The invention relates to the technical field of petrochemical wastewater treatment and discloses a method and a system for deeply treating standard emission of petrochemical wastewater, wherein the method comprises the steps of obtaining weather forecast data and generating an environmental impact prediction vector; the method comprises the steps of generating a microbial community metabolic capability vector through 16SrRNA high-throughput sequencing, carrying out superposition analysis on the microbial community metabolic capability vector and the microbial community metabolic capability vector, outputting a community structure change risk assessment result, predicting an unconventional metabolic path by using a constraint optimization model and generating a metabolic toxicity risk early warning list by combining a molecular structure-toxicity relation model, generating a preventive advanced treatment regulation and control scheme, carrying out real-time metabolism monitoring and response control, and carrying out community restoration assessment and stabilization regulation and control after environmental disturbance is finished. The invention can carry out prospective evaluation on the risk of the microbial metabolism layer under the disturbance of the extreme weather environment and carry out preventive regulation.

Inventors

  • ZHU QINYONG
  • Ge Hongxu

Assignees

  • 清鑫(苏州)环境科技有限公司

Dates

Publication Date
20260512
Application Date
20260415

Claims (10)

  1. 1. The advanced treatment method for the standard emission of petrochemical wastewater is characterized by comprising the following steps of: Acquiring weather forecast data in a future preset time window, carrying out standardized processing on weather parameters in the weather forecast data, inputting the weather parameters subjected to the standardized processing into a weather-biochemical influence prediction model, and generating an environmental influence prediction vector of the advanced treatment biochemical processing unit; Performing high-flux sequencing on the activated sludge sample of the advanced treatment biochemical treatment unit to generate a relative abundance matrix composed of microbial communities, mapping the relative abundance matrix and a microbial metabolism function database, and generating a microbial community metabolic capability vector; Performing superposition analysis on the microbial community metabolic capability vector and the environmental impact prediction vector, identifying bacterial groups possibly restrained or excessively proliferated under the predicted environmental conditions based on the environmental tolerance parameters of each functional bacterial group, and outputting a community structure change risk assessment result; Based on the community structure change risk assessment result, predicting an irregular metabolic path by using a constraint optimization model, performing molecular structure-toxicity relation model prediction on intermediates in the irregular metabolic path, identifying high-toxicity intermediates with predicted toxicity values exceeding a toxicity threshold, and generating a metabolic toxicity risk early warning list; matching a regulation strategy for each risk item in the metabolic toxicity risk early warning list to generate a preventive advanced treatment regulation scheme; The method comprises the steps of collecting metabolism indication parameters in real time, comparing the metabolism indication parameters with early warning indexes in a metabolism toxicity risk early warning list, and starting a degradation operation mode and triggering a targeted regulation response when abnormal early warning indexes are detected; and after the environmental disturbance is finished, carrying out differential analysis on the composition data of the community in the recovery period and the community base line, calculating the community deviation degree, and if the community deviation degree exceeds a preset threshold value, generating a metabolic pathway stabilization regulation and control scheme.
  2. 2. The method according to claim 1, wherein the weather-biochemical influence prediction model is a nonlinear regression model trained based on historical operation data, the weather-biochemical influence prediction model is input into a standardized weather parameter sequence, and output is a time sequence predicted value of environmental parameters of a biochemical treatment unit, and the environmental influence prediction vector comprises time sequence prediction data of a water temperature change curve, a dissolved oxygen change trend and an inflow dilution factor.
  3. 3. The method according to claim 1, wherein the metabolic capacity vector of the microbial community is calculated by multiplying a metabolic function matrix by a relative abundance matrix, elements in the metabolic function matrix represent contribution coefficients of each species to various metabolic functions, the contribution coefficients are determined according to functional gene annotation information in a microbial metabolic function database, and if the species carries functional genes corresponding to the metabolic functions, a quantization value is given according to expression intensity data of the functional genes of the corresponding species, otherwise, the value is zero.
  4. 4. The method according to claim 1, wherein the superposition analysis comprises calculating, for each metabolic function component in the metabolic capacity vector of the microbial community, an activity attenuation coefficient of a key-contributing flora corresponding to the metabolic function under predicted environmental conditions, wherein the activity attenuation coefficient is calculated according to a deviation between a predicted value of each environmental parameter and an optimal value of a corresponding functional flora and tolerance width parameters of the functional flora to each environmental parameter, and determining that the corresponding metabolic function is at risk of being damaged when the activity attenuation coefficient is lower than a preset threshold.
  5. 5. The method according to claim 1, wherein the constraint optimization model adopts a mixed integer linear programming method to define the activation state of the metabolic pathway as a binary variable, and the constraint conditions comprise the presence of precursor substances of the metabolic pathway in water, the presence of enzyme functions required by the metabolic pathway in a function enhancing flora, the reduction of inhibition factors of the metabolic pathway in a function impaired flora, the maximization of the total activation probability of the unconventional metabolic pathway as an objective function, and the solving of the unconventional metabolic pathway set meeting the constraint conditions and having the highest activation probability by a branch-and-bound method.
  6. 6. The method of claim 1, wherein the molecular structure-toxicity relationship model is a quantitative structure-activity relationship model based on a molecular descriptor, the input is a molecular structure characteristic of an intermediate product, the output is a predicted toxicity equivalent value, the molecular structure characteristic comprises a molecular weight, an octanol-water distribution coefficient, a polar surface area and a functional group type, and the toxicity threshold is set to be a preset proportion of an acute toxicity equivalent limit prescribed by effluent emission standards.
  7. 7. The method of claim 1, wherein the generating the preventive advanced treatment regulation scheme comprises performing cooperative optimization on regulation parameters by adopting a genetic algorithm, wherein the regulation parameters comprise carbon nitrogen ratio, trace element addition amount and sludge reflux ratio, the fitness function comprehensively considers a predicted generation amount normalization value of a high-toxicity intermediate product, a predicted activity retention rate of a target functional flora and a regulation cost normalization value, and the optimization constraint comprises an adjustable range of each regulation parameter and a standard reaching requirement of a conventional water quality index of effluent.
  8. 8. The method of claim 1, wherein the degraded mode of operation comprises reducing the feed water load to relieve community metabolic pressure, extending hydraulic residence time to compensate for degradation efficiency degradation, enabling auxiliary materialization processing units to share a portion of contaminant removal tasks, and wherein the metabolic indication parameters comprise oxidation-reduction potential, characteristic band ultraviolet absorbance, and dissolved organic fluorescence characteristics.
  9. 9. The method of claim 1, wherein the community bias is calculated from a similarity measure between the relative abundance of the convalescence community and the relative abundance of the community baseline, wherein the metabolic pathway stabilization control scheme comprises progressive parameter adjustment to gradually restore the operating parameters from a degraded operating mode state to a normal operating state in a preset adjustment step, and wherein the metabolic pathway stabilization control scheme further comprises a selective enhancement strategy to adjust growth promoting factors for functional flora with delayed recovery.
  10. 10. A petrochemical wastewater effluent advanced treatment system for performing the method of any one of claims 1 to 9, comprising: the environmental impact prediction module is used for acquiring weather forecast data, inputting weather parameters into a weather-biochemical impact prediction model after standardized processing, and generating an environmental impact prediction vector; the community metabolic capability analysis module is used for carrying out high-throughput sequencing on the activated sludge sample, generating a relative abundance matrix, and mapping the relative abundance matrix with the microbial metabolic function database to generate a microbial community metabolic capability vector; The community risk assessment module is used for carrying out superposition analysis on the microbial community metabolic capability vector and the environment influence prediction vector and outputting a community structure change risk assessment result; the metabolic toxicity early warning module is used for predicting an unconventional metabolic path by using the constraint optimization model, performing molecular structure-toxicity relation model prediction and generating a metabolic toxicity risk early warning list; The preventive regulation and control module is used for matching a regulation and control strategy aiming at the metabolic toxicity risk early warning list to generate a preventive advanced treatment regulation and control scheme; the real-time monitoring response module is used for collecting metabolism indication parameters in real time and comparing the metabolism indication parameters with early warning indexes, and starting a degradation operation mode when abnormality is detected; and the community restoration evaluation module is used for calculating community deviation degree and generating a metabolic pathway stabilization regulation scheme when the deviation degree exceeds a preset threshold value.

Description

Advanced treatment method and system for standard emission of petrochemical wastewater Technical Field The invention relates to the technical field of petrochemical wastewater treatment, in particular to a petrochemical wastewater standard-reaching discharge advanced treatment method and system. Background The petrochemical sewage contains characteristic pollutants such as phenols, benzene series and the like, and the biochemical treatment unit biodegrades the pollutants by depending on the metabolic activity of a microbial community, so that the key link for ensuring the effluent to reach the standard is ensured. The existing advanced treatment method maintains the stable operation of the biochemical treatment unit by monitoring the conventional water quality index, regulating and controlling the operation parameters such as dissolved oxygen, sludge age and the like, and verifies the degradation path based on the chemical reaction knowledge graph. However, the existing advanced treatment method performs path verification and parameter optimization based on steady-state community assumption, and does not consider dynamic impact of environmental disturbance caused by severe cold, heavy rain, high temperature and other extreme weather on microbial community structure and metabolic function. The drastic changes in environmental parameters may lead to the inhibition of part of the functional microbial activity and abnormal succession of colony structures, which in turn trigger metabolic pathway disorders and the production of unconventional toxic intermediates. These non-conventional toxic intermediates are not covered by conventional water quality indicators, which may result in toxicity exceeding of the deeply treated water and affect standard emission. The fixed chemical reaction knowledge graph can not reflect the metabolic specificity under the dynamic change of communities, and the prior method lacks the prospective evaluation and preventive regulation capability of the risk of the microbial metabolic level. Disclosure of Invention The invention provides a petrochemical wastewater standard-reaching emission advanced treatment method and system, which solve the technical problems that the metabolic risk of a microbial community cannot be prejudged in advance and the early warning and preventive regulation means for toxic intermediate products of an unconventional metabolic path are lacking in the petrochemical wastewater advanced treatment process in the related technology. The invention discloses a petrochemical sewage standard-reaching emission advanced treatment method, which comprises the steps of obtaining weather forecast data in a future preset time window, carrying out standardized treatment on weather parameters in the weather forecast data, inputting the standardized weather parameters into a weather-biochemical influence prediction model, and generating an environmental influence prediction vector of an advanced treatment biochemical treatment unit; Performing high-flux sequencing on the activated sludge sample of the advanced treatment biochemical treatment unit to generate a relative abundance matrix composed of microbial communities, mapping the relative abundance matrix and a microbial metabolism function database, and generating a microbial community metabolic capability vector; Performing superposition analysis on the microbial community metabolic capability vector and the environmental impact prediction vector, identifying bacterial groups possibly restrained or excessively proliferated under the predicted environmental conditions based on the environmental tolerance parameters of each functional bacterial group, and outputting a community structure change risk assessment result; Based on the community structure change risk assessment result, predicting an irregular metabolic path by using a constraint optimization model, performing molecular structure-toxicity relation model prediction on intermediates in the irregular metabolic path, identifying high-toxicity intermediates with predicted toxicity values exceeding a toxicity threshold, and generating a metabolic toxicity risk early warning list; matching a regulation strategy for each risk item in the metabolic toxicity risk early warning list to generate a preventive advanced treatment regulation scheme; The method comprises the steps of collecting metabolism indication parameters in real time, comparing the metabolism indication parameters with early warning indexes in a metabolism toxicity risk early warning list, and starting a degradation operation mode and triggering a targeted regulation response when abnormal early warning indexes are detected; and after the environmental disturbance is finished, carrying out differential analysis on the composition data of the community in the recovery period and the community base line, calculating the community deviation degree, and if the community deviation degree exceeds a preset threshold