A catalytic activity judging and controlling system for a wastewater treatment reactor using ozone catalytic oxidation
By using a multi-dimensional sensor array and intelligent AI algorithm to monitor catalyst activity in real time, the problem of difficulty in evaluating catalyst efficiency in ozone catalytic oxidation technology has been solved, intelligent control has been achieved, ozone utilization and catalyst life have been improved, and the stability of treatment effect and energy consumption have been ensured.
Patent Information
- Application Number
- CN202611552250.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-10-09
- Publication Date
- 2026-11-06
AI Technical Summary
In existing ozone catalytic oxidation technologies, catalyst efficiency is difficult to assess in real time, and traditional control systems fail to achieve intelligent operation, resulting in unstable treatment effects and high energy consumption.
Employing a multi-dimensional sensor array and intelligent AI algorithms, the catalyst activity is monitored in real time. Operating parameters are dynamically adjusted using the catalyst activity index (CAI), and intelligent control is achieved by combining this with a process parameter database.
This enables real-time online monitoring of catalyst activity, improves ozone utilization, extends catalyst life, ensures stable effluent quality, and reduces energy consumption.
Smart Images
Figure CN123047304A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of ozone catalytic oxidation technology, and particularly relates to a catalyst activity judgment and control system for an ozone catalytic oxidation wastewater treatment reactor. Background Technology
[0002] Ozone catalytic oxidation technology is an advanced oxidation technology widely used in the field of wastewater treatment. Ozone generates hydroxyl radicals under the action of a catalyst, which can non-selectively oxidize and decompose recalcitrant organic matter. However, the existing ozone catalytic oxidation technology still has the following technical problems in practical applications: (1) It is difficult to evaluate the catalyst efficiency in real time: During long-term operation, the catalyst will gradually become deactivated due to poisoning, scale buildup, and coverage of active sites. However, the traditional evaluation method mainly relies on offline sampling analysis, which has obvious lag and cannot reflect the real state of the catalyst in the operation process in a timely manner and carry out effective backwashing, regeneration and replacement, resulting in fluctuations in the treatment effect; (2) The operating parameters are disconnected from the catalyst state: The traditional control system only adjusts the operating parameters based on the influent and effluent water quality and does not take the catalyst activity index as a key control variable, so it cannot achieve true intelligent operation; (3) Although some ozone catalytic oxidation processes have reference water quality parameters, they lack an automatic intelligent control judgment system to conduct real-time online detection, judgment and control adjustment of various operating parameters, which leads to frequent human intervention during the operation of the process equipment, high power consumption and chemical consumption of the system, and unstable effect. Summary of the Invention
[0003] In view of this, the purpose of the present invention is to provide a catalyst activity judgment and control system for an ozone catalytic oxidation wastewater treatment reactor, so as to overcome the shortcomings of the prior art.
[0004] To achieve the above objectives, the present invention is implemented through the following technical solution: A catalyst activity judgment and control system for an ozone catalytic oxidation wastewater treatment reactor is provided, comprising: The data acquisition layer collects real-time data on potential changes and characteristic gas release on the catalyst surface, redox potential data in the reaction zone, ozone dosage data, ozone emission data in the exhaust gas, and various water quality data such as COD and pH in the inlet and outlet water areas. The feature extraction layer calculates ozone depletion kinetic parameters, analyzes electrochemical characteristic signals, and changes in water pollutant concentrations in real time. The model analysis layer takes multi-source data from the data acquisition layer as input and outputs the catalyst activity index (CAI). The control and execution layer dynamically adjusts operating parameters based on the catalyst activity index (CAI).
[0005] Furthermore, the ozone catalytic oxidation wastewater treatment reactor catalyst activity judgment and control system includes a control execution layer that is associated with a database of various process parameters of the corresponding process. It employs an artificial neural network to train a catalyst activity index calculation model, a reaction zone redox potential and catalyst activity correlation index model, an organic pollutant and reaction zone redox potential calculation model, and a concentration gradient model.
[0006] Furthermore, the ozone catalytic oxidation wastewater treatment reactor catalyst activity judgment and control system includes a process parameter database accumulated and screened from a large number of relevant process practical applications. It supports rapid retrieval and comparison by water quality type, reactor type, and treatment target, and contains multi-dimensional verification data: residence time, catalytic efficiency, mineralization rate, catalyst life, and cost-related key data without missing or outlier values.
[0007] Furthermore, the catalyst activity judgment and control system of the ozone catalytic oxidation wastewater treatment reactor also has a catalyst deactivation early warning function in the control execution layer. When the catalyst activity index (CAI) is lower than a preset threshold, it issues a visual index value of the catalyst activity status and a prompt for regeneration or replacement.
[0008] Furthermore, the catalyst activity judgment and control system of the ozone catalytic oxidation wastewater treatment reactor also has an ozone tail gas destruction judgment and recovery alarm function in the control execution layer. It is used to recover excess ozone and monitor whether ozone is leaking. While ensuring the normal operation of the ozone catalytic oxidation wastewater treatment reactor, it also serves as an auxiliary evidence for judging catalyst activity.
[0009] The beneficial effects of the technical solution of this invention are: 1. Real-time online monitoring of catalyst activity: By integrating a multi-dimensional sensor array and intelligent AI algorithm, real-time assessment of catalyst activity in an ozone catalytic oxidation reactor was achieved for the first time, solving the problem of lag in traditional offline analysis, and the accuracy of catalyst activity assessment reached over 90%.
[0010] 2. Significantly improved ozone utilization: The ozone dosage is dynamically adjusted according to the catalyst activity to avoid ozone waste or insufficiency, and the ozone utilization rate is increased to more than 75%, which is more than 15 percentage points higher than the conventional process.
[0011] 3. Precise matching of operating parameters and catalyst state: A correlation model between catalyst activity index and operating parameters is established to achieve true intelligent control. The system is highly adaptable and operates stably.
[0012] 4. Extend catalyst lifespan: By monitoring catalyst activity changes in real time, catalyst regeneration can be performed at the optimal time, avoiding overuse or premature regeneration, thus extending catalyst lifespan by 20%-30%.
[0013] 5. It has a deactivation warning function: when the catalyst activity is lower than the threshold, it will automatically alarm and adjust the operating parameters of various components to ensure that the effluent water quality is stable and meets the standards, and avoid treatment accidents caused by sudden drop in catalyst performance.
[0014] 6. Compact structure and high level of intelligence: It adopts a modular design, which is suitable for upgrading and transforming existing sewage treatment plants, and can be combined with Internet of Things technology to realize remote monitoring. Attached Figure Description
[0015] To further illustrate the above-mentioned objectives, structural features, and effects of the present invention, the present invention will be described in detail below with reference to the accompanying drawings.
[0016] Fig. 1 This is a system composition and process logic diagram of a preferred embodiment of the present invention; Fig. 2 This is a system architecture diagram of a preferred embodiment of the present invention; Fig. 3 This is a process flow diagram of ozone monomers according to a preferred embodiment of the present invention; In the diagram: 1. Electrochemical sensor array instrument; 2. pH instrument; 3. Pressure sensor instrument; 4. Influent water quality online monitoring equipment; 5. Effluent water quality online monitoring equipment; 6. Ozone exhaust gas destruction device control box. Detailed Implementation
[0017] The terms “invention” and “the present invention” used in this specification are intended to broadly refer to all subject matter of this specification and any of the following patent claims. Statements containing these terms should not be construed as limiting the subject matter described herein or limiting the meaning or scope of any of the following patent claims. Furthermore, this specification does not attempt to describe or limit the subject matter covered by any claim of any particular component, paragraph, statement, or drawing of this application. The subject matter should be understood with reference to the entire specification, all drawings, and any of the following claims. The invention may have other embodiments and be practiced or implemented in other ways. Moreover, it should be understood that the wording and terminology used herein are for illustrative purposes and should not be considered limiting.
[0018] The details of the invention will now be discussed with reference to the accompanying drawings, which are illustrated by way of example only. In the drawings, similar features or components may be labeled using the same reference numerals.
[0019] The use of the terms "comprising," "having," and "including," and variations thereof, herein means to include the items listed herein and their equivalents and additional items. While reference may be made in the description of the drawings to directions such as above, below, upward, downward, backward, bottom, top, front, rear, etc., for convenience, reference is made relative to the drawings. These directions are not intended to literally accept or limit the invention in any form. Furthermore, terms such as "first," "second," "third," etc., are used herein for illustrative purposes and are not intended to indicate or imply importance or significance.
[0020] See Figs. 1 to 3 As shown, the catalyst activity judgment and control system of the ozone catalytic oxidation wastewater treatment reactor of the present invention includes: 1. Data acquisition layer, including: • An electrochemical sensor array (electrochemical sensor array instrument 1) is embedded at different heights in the catalyst filling area to monitor potential changes and characteristic gas release on the catalyst surface; • Conventional online water quality monitoring instruments, including COD monitor, pH meter (pH meter 2), temperature sensor and pressure sensor (pressure sensor 3). • The online water quality analyzer includes an online influent water quality detection device 4 and an online effluent water quality detection device 5, which are respectively installed in the influent and effluent pipes to analyze the concentration change characteristics of organic matter in the influent. • An online ozone concentration monitor is installed in the ozone intake pipe and the exhaust pipe to monitor the ozone concentration of the intake and exhaust gases in real time, with an accuracy of ±1ppb. 2. A feature extraction layer, including a data processor, the data processor performing the following calculations: • Real-time calculation of ozone depletion kinetic parameters: Calculate the ozone depletion rate constant based on the ozone concentrations in the inlet and outlet gases; • Electrochemical characteristic signal analysis: Extracting characteristic peaks and trends in the sensor array response; • Analysis of changes in water pollutant concentrations: Identifying the types and concentration changes of organic matter in the influent; 3. Model analysis layer, including a microprocessor embedded with a catalyst activity index calculation model, which takes multi-source data from the data acquisition layer as input and outputs the catalyst activity index (CAI).
[0021] 4. Control execution layer, including: The PLC controller dynamically adjusts the following operating parameters based on the catalyst activity index (CAI): • Ozone dosage; • Momentum change control of aeration blowers and aeration mechanisms; • Reflux ratio; • Control of backwashing time, frequency, and intensity; Referring to the diagram, during the operation of this system: During the operation of the ozone catalytic oxidation wastewater treatment reactor, the control system continuously and stably collects real-time data on the potential changes and characteristic gas release on the catalyst surface, as well as data on the oxidation-reduction potential of the reaction zone, ozone dosage, ozone emission in the tail gas, and various water quality data such as COD and pH in the influent and effluent areas through an electrochemical sensor array.
[0022] In the judgment and control system, various data databases related to the corresponding processes are used to train a catalyst activity index calculation model, a reaction zone redox potential and catalyst activity correlation index model, an ozone dosage correlation index model, an organic pollutant and reaction zone redox potential calculation model, and a concentration gradient theory. Each intelligent calculation model is progressively correlated without mutual interference.
[0023] The computational model is trained using an artificial neural network based on a large database of ozone catalytic oxidation processes. The catalyst formulation activity index parameters and influent water quality data are used as input variables, and the COD removal rate is used as the output variable. The correlation coefficient R between the model's predicted values and experimental values can reach 0.9659.
[0024] Data on influent and effluent water quality, ozone dosage, reaction conditions such as pH and redox potential, and electrochemical sensor array data in the catalyst area are calculated by a smart computing model and compared with a large process database to form a catalyst activity judgment and early warning index (CAI). The CAI index is transmitted to a catalyst deactivation early warning module in the reactor via feedback signals. When the catalyst activity index (CAI) is lower than a preset threshold, a visual indicator value of the catalyst activity status and a prompt for regeneration or replacement are issued.
[0025] Meanwhile, the judgment control system is also equipped with an ozone exhaust gas destruction device (ozone exhaust gas destruction device control box 6) and an ozone recovery alarm module. The ozone recovery alarm module includes an activated carbon plate, a battery, a buzzer and an ozone concentration sensor, which is used to recover excess ozone and monitor whether ozone is leaking. While ensuring the normal operation of the ozone catalytic oxidation wastewater treatment reactor, it also serves as an auxiliary evidence for judging the catalyst activity.
[0026] The electrochemical sensor array is a specially developed metal oxide-based gas sensor or a bimetallic nanoparticle-modified sensor with high stability, high sensitivity, and short response time. The intelligent computing model possesses rapid response capabilities, low latency, high concurrency, strong real-time performance, and high reliability. Inference is extremely fast, with millisecond / sub-second response times. The model is small with a reasonable number of parameters, enabling rapid processing of dynamic and sudden information, immediate decision-making, online fine-tuning, small-sample learning, and rapid adaptation to new scenarios and data.
[0027] The process parameter database is accumulated and screened from a large number of relevant process practice applications. It supports rapid retrieval and comparison by water quality type, reactor type, and treatment target. It contains multi-dimensional verification data: key data such as residence time, catalytic efficiency, mineralization rate, catalyst life, and cost, which are complete and free of outliers, providing underlying data support for the accuracy of the intelligent judgment and control system.
[0028] This judgment and control system integrates a multi-dimensional sensor array and intelligent algorithms, supplemented by a large database of process operation and online detection instruments, to achieve real-time evaluation of catalyst activity and dynamic intelligent judgment and optimized control of process parameters.
[0029] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.
Claims
1. A catalyst activity judgment and control system for an ozone catalytic oxidation wastewater treatment reactor, characterized in that, include: The data acquisition layer collects real-time data on potential changes and characteristic gas release on the catalyst surface, redox potential data in the reaction zone, ozone dosage data, ozone emission data in the exhaust gas, and various water quality data such as COD and pH in the inlet and outlet water areas. The feature extraction layer calculates ozone depletion kinetic parameters, analyzes electrochemical characteristic signals, and changes in water pollutant concentrations in real time. The model analysis layer takes multi-source data from the data acquisition layer as input and outputs the catalyst activity index (CAI). The control and execution layer dynamically adjusts operating parameters based on the catalyst activity index (CAI).
2. The catalyst activity judgment and control system for the ozone catalytic oxidation wastewater treatment reactor according to claim 1, characterized in that, The control execution layer is associated with the database of various process parameters of the corresponding process. Artificial neural networks are used to train the catalyst activity index calculation model, the reaction zone redox potential and catalyst activity correlation index model, the ozone dosage correlation index model, the organic pollutant and reaction zone redox potential calculation model, and the concentration gradient model.
3. The catalyst activity judgment and control system for the ozone catalytic oxidation wastewater treatment reactor according to claim 2, characterized in that, The process parameter database is accumulated and screened from a large number of relevant process practice applications. It supports rapid retrieval and comparison by water quality type, reactor type, and treatment target, and contains multi-dimensional verification data: residence time, catalytic efficiency, mineralization rate, catalyst life, cost-critical data with no missing or outlier data.
4. The catalyst activity judgment and control system for the ozone catalytic oxidation wastewater treatment reactor according to claim 1, characterized in that, The control execution layer also has a catalyst deactivation early warning function. When the catalyst activity index (CAI) is lower than the preset threshold, it issues a visual indicator value of the catalyst activity status and a prompt for regeneration or replacement.
5. The catalyst activity judgment and control system for the ozone catalytic oxidation wastewater treatment reactor according to claim 1, characterized in that, The control execution layer also has ozone exhaust gas damage judgment and recovery alarm functions, which are used to recover excess ozone and monitor whether ozone is leaking. While ensuring the normal operation of the ozone catalytic oxidation wastewater treatment reactor, it also serves as auxiliary evidence for judging catalyst activity.