CN-121998315-A - High-cleanness gas protection management system and method based on digital twinning

Abstract

The invention discloses a high-cleanness gas protection management system based on digital twinning, which relates to the technical field of digital management and comprises a physical protection module, a data acquisition module, a data storage and processing module, a digital twinning modeling module, a state evaluation and analysis module and a risk recognition and early warning module, wherein the physical protection module at least comprises a high-cleanness micro-positive pressure protection unit, the data acquisition module is used for acquiring operation data related to high-cleanness gas protection, the data storage and processing module is used for carrying out centralized storage, cleaning, statistics and preprocessing on the data acquired by the data acquisition module, the digital twinning modeling module is used for constructing a digital twinning model, the state evaluation and analysis module is used for evaluating the operation state of the physical protection module based on historical data and acquired real-time data, and the risk recognition and early warning module is used for recognizing and grading early warning risks causing micro-positive pressure protection failure or environmental deterioration. According to the invention, the digital twin model is constructed, and the originally dispersed high-cleanness gas protection system is concentrated into a unified virtual space, so that the virtual-real integrated state monitoring and management are realized.

Inventors

• Sheng Kuo

Assignees

• 南京钢铁股份有限公司

Dates

Publication Date

20260508

Application Date

20260104

Claims (9)

1. 1. The digital twinning-based high-clean gas protection management system is characterized by comprising: the physical protection module at least comprises a high-cleanness micro-positive pressure protection unit; The data acquisition module is used for acquiring operation data related to high-cleaning gas protection; The data storage and processing module is used for carrying out centralized storage, cleaning, statistics and preprocessing on the data acquired by the data acquisition module; The digital twin modeling module is used for constructing a digital twin model corresponding to the equipment information, the pipeline connection relation, the spatial distribution information and the control logic information based on the structural information and the operation parameters of the physical protection module; the state evaluation and analysis module is used for evaluating the operation state of the physical protection module based on historical data and collected real-time data; and the risk identification and early warning module is used for identifying and grading early warning the risk causing the micro-positive pressure protection failure or the environmental deterioration based on a preset rule and/or an analysis model.
2. 2. The high clean gas barrier management system of claim 1, further comprising a visual display module for displaying structural topology, operating status, parameter distribution and risk information of the physical barrier module at a digital twinning interface.
3. 3. The high-clean gas protection management system based on digital twinning as set forth in claim 1, further comprising an interface and integration module for exchanging data with a host computer or other digital twinning platform.
4. 4. The digital twinning-based high-cleaning gas protection management system of claim 1, wherein the high-cleaning micro-positive pressure protection unit comprises one or more of a guiding sealing micro-positive pressure gas curtain dustproof system, an oil storage equipment headspace micro-positive pressure protection system and an industrial closed space micro-positive pressure protection system.
5. 5. The digital twin based high clean gas barrier management system of claim 1, wherein the data acquisition module comprises sensors disposed in a gas source manifold, each gas branch, the perimeter of the protected object, and the industrial enclosed space, the sensors comprising at least one of a pressure sensor, a flow meter, a temperature and humidity sensor, a dew point sensor, a particulate concentration sensor, and an oil condition on-line monitoring device.
6. 6. The digital twin based high clean gas barrier management system of claim 1, wherein the operational data related to high clean gas barrier comprises pressure, flow, temperature and humidity, dew point, particulate concentration, oil condition parameters, and equipment operational status information.
7. 7. The digital twin based high clean gas barrier management system of claim 1, wherein the status assessment and analysis module is configured to calculate an assessment index from the collected operational data and generate a corresponding status assessment result, the assessment index comprising one or more of a micro positive pressure maintenance rate, a gas source cleanliness level, a cartridge pressure differential trend, a dryer load level, and an oil contamination index.
8. 8. The digital twin based high clean gas barrier management system of claim 1, wherein the risk identification and early warning module is configured to determine that there is a risk of high clean gas barrier failure when it is detected that the pressure is below a preset lower limit for a time exceeding a preset value, the dew point is above a preset upper limit, the particulate concentration is above an early warning value for a time exceeding a preset value, and/or the oil contamination index continues to rise, and generate early warning information according to the risk level.
9. 9. A high-clean gas protection management method based on digital twinning is characterized by comprising the following steps: Acquiring equipment information, pipeline connection relation, space distribution information and control logic information of a high-cleanness micro-positive pressure protection unit, constructing a corresponding digital twin model in a digital twin modeling module, and establishing a mapping relation between a physical entity and a virtual entity; The method comprises the steps that operation parameters of a high-cleanness micro-positive pressure protection unit are collected through a data collection module, and the operation parameters are stored in a centralized mode and preprocessed through a data storage and processing module; The state evaluation and analysis module evaluates the operation state of the high-cleanness micro-positive pressure protection unit based on the operation parameters to generate a state evaluation result; the risk identification and early warning module identifies risks causing high clean gas protection failure according to the state evaluation result and a preset rule and/or analysis model, and generates early warning information; The visual display module maps the state evaluation result and the early warning information to a digital twin model, and the state evaluation result and the early warning information are visually displayed in a digital twin interface for operation and maintenance personnel to monitor and make decisions.

Description

High-cleanness gas protection management system and method based on digital twinning Technical Field The invention relates to the technical field of digital management, in particular to a high-clean gas protection management system and method based on digital twinning. Background In the industries of coking, metallurgy, mines and the like, in order to improve the reliability and service life of key equipment, a high-cleaning micro-positive pressure technology is increasingly adopted to carry out dust prevention, moisture prevention and corrosion prevention protection on guide sealing, oil storage equipment headspace, industrial closed spaces such as a hydraulic station chamber, an electric chamber, an instrument room and the like. For example, a micro-positive pressure air curtain dust-proof device is adopted for guiding moving parts such as an oil cylinder piston rod, a motor shaft and the like, a headspace micro-positive pressure stabilizing device is adopted for a speed reducer oil tank, a hydraulic oil tank and the like, and a micro-positive pressure protection system for mixing fresh air with compressed air for a hydraulic station chamber and an electric chamber is adopted. The high-cleanliness gas protection systems relate to a plurality of modules such as gas source treatment, micro-positive pressure control, multi-parameter monitoring, intelligent regulation and the like, and have complex structures, various parameters and dynamic changes of running states along with working conditions and environments. In practical applications, the following problems exist: 1. The system state is opaque, particularly, the micro positive pressure protection system is distributed in a plurality of areas, and relates to a plurality of sets of equipment, wherein all modules are mutually related but lack of a unified platform for integral visualization, so that operation and maintenance personnel can not know the integral operation state and risk distribution of the system in time; 2. The data are scattered and difficult to use, particularly, the data such as pressure, flow, dew point, particulate matter concentration, oil liquid state and the like are scattered in different monitoring points and systems, centralized storage and unified analysis are lacked, trend analysis and fault prediction are difficult to carry out, and only experience maintenance can be relied on; 3. The prior system mainly adopts single-point alarm, cannot carry out comprehensive risk assessment and early warning from the system level, is difficult to find hidden troubles such as micro-positive pressure protection failure trend, filter blockage, dryer failure and the like in time, and is further incapable of providing quantitative decision basis for overhauling and transformation; 4. The lack of full life cycle management of digital twin support, in particular to the selection and parameter configuration of equipment which stays at a physical level for the construction and operation and maintenance of a micro positive pressure protection system at present, and the lack of a virtual-real integrated management system taking digital twin as a carrier, which leads to insufficient system optimization and knowledge precipitation. Therefore, it is necessary to construct a digital twin management system mapping the high-clean gas protection system to a digital space, so as to realize omnibearing modeling, visualization and intelligent analysis of system structure, running state, history data and risks, thereby improving the running quality and management level of the high-clean gas protection system. Disclosure of Invention The invention aims to solve the technical problem of overcoming the defects of the prior art and providing a high-clean gas protection management system and method based on digital twinning. In order to solve the technical problems, the technical scheme of the invention is as follows: A digital twinning-based high-clean gas barrier management system, comprising: the physical protection module at least comprises a high-cleanness micro-positive pressure protection unit; The data acquisition module is used for acquiring operation data related to high-cleaning gas protection; The data storage and processing module is used for carrying out centralized storage, cleaning, statistics and preprocessing on the data acquired by the data acquisition module; The digital twin modeling module is used for constructing a digital twin model corresponding to the equipment information, the pipeline connection relation, the spatial distribution information and the control logic information based on the structural information and the operation parameters of the physical protection module; the state evaluation and analysis module is used for evaluating the operation state of the physical protection module based on historical data and collected real-time data; and the risk identification and early warning module is used for identifying and grading early warn