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CN-122020959-A - Washing tower corrosion risk prediction method, device and equipment

CN122020959ACN 122020959 ACN122020959 ACN 122020959ACN-122020959-A

Abstract

The embodiment of the application provides a method, a device and equipment for predicting corrosion risk of a washing tower. The method comprises the steps of firstly obtaining operation parameter data of a washing tower to be predicted, then inputting the operation parameter data into a pre-constructed multi-physical field coupling model to obtain current simulation results of all areas of the washing tower to be predicted, then obtaining current corrosion data of all the areas according to the current simulation results and a mapping relation, wherein the mapping relation comprises the relation between the simulation results and the corrosion data, and finally generating corrosion risk grades of all the areas of the washing tower to be predicted according to the current corrosion data and a safe service pattern interval. By the method, the corrosion conditions of different areas of the washing tower can be accurately judged.

Inventors

  • JIANG JINGJING
  • YE HAIMU
  • WANG JIAN

Assignees

  • 中国石油大学(北京)

Dates

Publication Date
20260512
Application Date
20251219

Claims (10)

  1. 1. A method for predicting risk of corrosion in a scrubber, comprising: acquiring operation parameter data of a washing tower to be predicted; Inputting the operation parameter data into a pre-constructed multi-physical field coupling model to obtain the current simulation result of each region of the washing tower to be predicted, wherein the multi-physical field coupling model is used for representing the gas-liquid interaction and the acid component reaction process of the washing tower; acquiring current corrosion data of each region according to the current simulation result and a mapping relation, wherein the mapping relation is a corresponding relation between environment parameters of the simulation result and the corrosion data, which is established through an indoor simulation test; Determining corrosion risk levels of all areas of the washing tower to be predicted according to the current corrosion data and a safe service pattern interval, wherein the safe service pattern interval is obtained by classifying the corrosion data of the washing tower material under various simulation working conditions and is used for representing corrosion safety boundaries of the washing tower material under different environmental conditions.
  2. 2. The method of claim 1, wherein the process of constructing the multi-physical field coupling model comprises: obtaining structural size parameters of a washing tower; establishing a three-dimensional geometric model of the washing tower based on the structural dimension parameters, and carrying out grid division on the three-dimensional geometric model to obtain a full-size gridding model; Based on the gridding model, constructing a function model of physical property parameters and temperature of smoke components, wherein the smoke components comprise air, sulfur dioxide, carbon dioxide and water, and the physical property parameters at least comprise one of density, specific heat capacity, thermal conductivity and dynamic viscosity; according to a chemical equilibrium equation and a mass conservation and charge conservation equation, a chemical reaction dynamics model is constructed, and the chemical reaction dynamics model is used for simulating the dissolution and ionization reactions of sulfur dioxide and carbon dioxide in the liquid phase mass transfer process; constructing a gas-liquid two-phase flow mass transfer model by using an Euler-Lagrangian framework, wherein the gas-liquid two-phase flow mass transfer model is used for simulating momentum transfer, mass transfer and energy transfer between flue gas and cooling water; and constructing the multi-physical field coupling model according to the function model, the chemical reaction dynamics model and the gas-liquid two-phase flow mass transfer model.
  3. 3. The method of claim 1, wherein the simulation results comprise a gas-liquid phase distribution, a gas-liquid phase corresponding temperature distribution, a flow velocity distribution, a pressure distribution, a gas-liquid component distribution, and a shear force distribution, and the corrosion data comprises corrosion rates, corrosion morphologies, and corrosion products corresponding to each region of the scrubber.
  4. 4. The method of claim 1, wherein the process of establishing the safe service gallery interval comprises: acquiring corrosion data of the washing tower material under various simulation result conditions through an indoor simulation test; Determining corrosion data thresholds of the scrubber material under different simulation result combinations based on the corrosion data; Dividing the corrosion data into a plurality of risk levels according to the corrosion data threshold value to obtain the safe service pattern interval, wherein the risk levels comprise low risk, medium and high risk.
  5. 5. The method according to claims 1 to 4, wherein determining the corrosion risk level of each region of the scrubber to be predicted according to the current corrosion data and the safe service plate interval comprises: And determining the corrosion risk level of each region of the washing tower to be predicted according to the corrosion rate, the corrosion morphology, the corrosion product and the safe service pattern interval corresponding to each region of the current washing tower.
  6. 6. The method of claim 5, wherein after said determining the corrosion risk level of the scrubber to be predicted, the method further comprises: judging whether the corrosion risk level of each region of the washing tower to be predicted reaches a preset corrosion risk level; And determining the area with the corrosion risk level reaching the preset corrosion risk level as a target area, and outputting alarm information, wherein the alarm information is used for reminding an operator to adjust the working condition of the target area.
  7. 7. The method of claim 6, wherein the manner of operating condition adjustment comprises: Flow and temperature regulation of the flue gas inlet; and/or flow rate and temperature regulation of the cooling water inlet; And/or the pH value of the cooling water.
  8. 8. The method of claim 2, wherein the chemical reaction kinetics model comprises an ionization balance reaction model of sulfur dioxide and carbon dioxide in a liquid phase; The ionization balance reaction model is used for determining concentration distribution of hydrogen ions and ion components in a liquid phase, and at least comprises the following reactions: Ionization equilibrium reaction of sulfur dioxide in aqueous solution: ; ; ionization equilibrium reaction of carbon dioxide in aqueous solution: ; ; self-ionization equilibrium reaction of water: 。
  9. 9. a scrubber corrosion risk prediction apparatus, comprising: the first acquisition module is used for acquiring operation parameter data of the washing tower to be predicted; the processing module is used for inputting the operation parameter data into a pre-constructed multi-physical field coupling model to obtain the current simulation result of each region of the washing tower to be predicted, wherein the multi-physical field coupling model is used for representing the gas-liquid interaction and the acid component reaction process of the washing tower; The second acquisition module is used for acquiring the current corrosion data of each region according to the current simulation result and a mapping relation, wherein the mapping relation comprises the relation between the simulation result and the corrosion data; The determining module is used for determining the corrosion risk level of each region of the washing tower to be predicted according to the current corrosion data and a safe service pattern interval, and the safe service pattern interval is used for representing the corrosion safety boundary of the washing tower material under different environmental conditions.
  10. 10. An electronic device is characterized by comprising a memory and a processor; The memory stores computer-executable instructions; The processor executing computer-executable instructions stored in the memory, causing the processor to perform the method of any one of claims 1-8.

Description

Washing tower corrosion risk prediction method, device and equipment Technical Field The application relates to the field of washing tower corrosion risk prediction, in particular to a washing tower corrosion risk prediction method, device and equipment. Background The claus tail gas scrubber is a critical environmental protection equipment in natural gas purification plants for the removal of acid gases (such as sulfur dioxideCarbon dioxideEtc.) to meet emissions standards and to protect subsequent equipment. However, in actual operation, the scrubber is subjected to a complex corrosive environment, and there is a significant temperature gradient within the column (the flue gas inlet temperature is reachableAbove, the liquid phase temperature is about 70 ℃), chemical corrosion of the multi-component acid medium, (in the tail gas)Isogas and washing liquid (containingAcid and alkali ions) to form an acidic environment (pH value fluctuation), and a dry-wet alternate environment (high-speed collision, evaporation and deposition processes of spray liquid drops and gas phase, which lead to extreme working conditions of dry-wet alternation, high-flow-rate flushing and the like in local areas (such as nozzles and gas-liquid interfaces), and the like) caused by gas-liquid flushing, and the factors of complex internal structure, difficult monitoring and the like, so that the device is extremely easy to generate local failures such as pitting corrosion, crevice corrosion and the like. Once corrosion is out of control, not only can economic losses such as equipment perforation leakage, shutdown maintenance and the like be caused, but also safety and environmental protection risks of harmful gas leakage can be caused. Therefore, the corrosion control and monitoring of the Claus tail gas washing tower are enhanced, and the method has important significance for guaranteeing the long-term safe operation of the device, improving the stability of the sulfur recovery system and realizing clean production. In the prior art, a common corrosion prediction method for a Claus tail gas washing tower is a macroscopic prediction model based on integral equipment or pipelines, and the method generally performs corrosion rate calculation and service life prediction by collecting operation parameters such as average temperature, acid gas concentration, liquid phase pH value (potential of hydrogen, pH) value, flow rate and the like in the tower or a pipeline system and combining an empirical formula or a semi-empirical model. The model generally assumes that the surface of the equipment is acted by the same medium and temperature environment, the corrosion rate is regarded as a unified average value of the whole tower, and macroscopic corrosion control or maintenance period optimization is realized by monitoring the corrosion rate change trend. However, the corrosion risk prediction method in the prior art depends on empirical parameters, and it is difficult to accurately describe local corrosion behaviors of different areas, so that the identification degree of corrosion parts is insufficient. Disclosure of Invention The embodiment of the application provides a method, a device and equipment for predicting corrosion risk of a washing tower, which are used for solving the problem that the identification degree of a corrosion part is insufficient because the local corrosion behaviors of different areas are difficult to accurately describe depending on experience parameters in the prior art. In a first aspect, an embodiment of the present application provides a method for predicting corrosion risk of a scrubber, including: acquiring operation parameter data of a washing tower to be predicted; Inputting the operation parameter data into a pre-constructed multi-physical field coupling model to obtain the current simulation result of each region of the washing tower to be predicted, wherein the multi-physical field coupling model is used for representing the gas-liquid interaction and the acid component reaction process of the washing tower; acquiring current corrosion data of each region according to the current simulation result and a mapping relation, wherein the mapping relation is a corresponding relation between environment parameters of the simulation result and the corrosion data, which is established through an indoor simulation test; Determining corrosion risk levels of all areas of the washing tower to be predicted according to the current corrosion data and a safe service pattern interval, wherein the safe service pattern interval is obtained by classifying the corrosion data of the washing tower material under various simulation working conditions and is used for representing corrosion safety boundaries of the washing tower material under different environmental conditions. In one possible implementation manner, the process for constructing the multi-physical field coupling model includes: Obtaining structural dimension paramete