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CN-122022118-A - Electric precipitation full life cycle management method based on digital twin

CN122022118ACN 122022118 ACN122022118 ACN 122022118ACN-122022118-A

Abstract

The application relates to the technical field of industrial equipment management and discloses a digital twinning-based electric precipitation full life cycle management method which comprises the following steps of firstly constructing a digital twinning basic model mapped with a physical electric precipitator, storing virtual components and a configuration knowledge base of the virtual components, then monitoring the running state of the physical electric precipitator, identifying the performance bottleneck of the virtual components by utilizing the digital twinning basic model based on preset triggering conditions, and calling the virtual components from the virtual components and the configuration knowledge base aiming at the performance bottleneck to generate candidate physical reconstruction schemes of the performance bottleneck. The application realizes the performance, investment, process and operation and maintenance evaluation of the reconstruction scheme by quantitatively evaluating the process cost index and the operation and maintenance cost index, overcomes the limitation of neglecting hidden cost such as downtime, construction risk, long-term energy consumption and the like, ensures that the final decision is more comprehensive and reflects the comprehensive value of the whole life cycle of the scheme.

Inventors

  • Ji Changkun
  • LI XIAO
  • ZHU LAIFU

Assignees

  • 华电国际电力股份有限公司邹县发电厂

Dates

Publication Date
20260512
Application Date
20251219

Claims (10)

  1. 1. The electric precipitation full life cycle management method based on digital twinning is characterized by comprising the following steps of: s1, constructing a digital twin basic model mapped with a physical electric dust collector, and a virtual component and configuration knowledge base for storing the virtual component; step S2, monitoring the operation state of the physical electric dust collector, and identifying the performance bottleneck of the virtual component by utilizing the digital twin basic model based on a preset triggering condition; s3, aiming at the performance bottleneck, invoking a virtual component from the virtual component and a configuration knowledge base to generate a candidate physical reconstruction scheme of the performance bottleneck; S4, carrying out multi-objective collaborative evaluation on the candidate physical reconstruction scheme, wherein the multi-objective collaborative evaluation comprises evaluation on performance indexes, investment cost indexes, process cost indexes and operation and maintenance cost indexes; And S5, determining an optimal physical reconstruction scheme based on the multi-objective collaborative evaluation result.
  2. 2. The digital twinning-based electro-precipitation full life cycle management method of claim 1, wherein the virtual components and virtual components in the configuration knowledge base comprise: An executable reconfiguration process model for defining the operation flow and man-hour information required for the installation or replacement of the virtual member, and a control characteristic fingerprint for describing the electrical response characteristic are encapsulated.
  3. 3. The method for managing the full life cycle of electric precipitation based on digital twinning according to claim 2, wherein the evaluation of the process cost index in the step S4 is obtained by deduction calculation according to an executable reconstruction process model corresponding to the virtual component in the candidate physical reconstruction scheme.
  4. 4. The method according to claim 1, wherein the triggering conditions in step S2 include predictive failure triggering for predicting that the current electric precipitation equipment configuration cannot meet performance requirements in the future based on future fuel supply plans and the digital twin base model.
  5. 5. The digital twinning-based electro-precipitation full life cycle management method of claim 2, further comprising: and step S6, based on the determined optimal physical reconstruction scheme, generating a decision package bundled with the optimal physical reconstruction scheme, wherein the decision package comprises a bill of materials, a physical reconstruction work order generated by the executable reconstruction process model and a ready-to-use control parameter package matched with the optimal physical reconstruction scheme.
  6. 6. The digital twinning-based electric precipitation full life cycle management method according to claim 1, wherein said step S5 further comprises: And S7, after the optimal physical reconstruction scheme is executed, acquiring actual operation data and actual construction process data, and correcting and iterating the digital twin basic model, the virtual component and the configuration knowledge base based on the actual operation data and the actual construction process data.
  7. 7. The method of claim 2, wherein the model of the executable reconfiguration process comprises a machine-readable data model defining the operation steps, the logical sequence relationships among the steps, the set of resources required for each step, and the set of standard man-hours.
  8. 8. The method according to claim 2, wherein the step S4 further comprises generating a baseline control strategy matching with the control characteristic fingerprint based on the control characteristic fingerprint of the component in the candidate physical reconstruction scheme, and simulating in the digital twin base model based on the baseline control strategy to evaluate the operation and maintenance cost index.
  9. 9. The digital twin-based electric precipitation full life cycle management method according to claim 1, wherein the digital twin basic model comprises a coal dust characteristic agent model for dynamically mapping input coal analysis data into dust specific resistance and particle size distribution physical characteristic parameters required by electric precipitation equipment simulation.
  10. 10. A digital twinning-based electro-precipitation full life cycle management method according to claim 3, wherein the process cost indicator comprises in particular a weighted function of total downtime, construction labor cost and construction risk index calculated from the executable reconstruction process model.

Description

Electric precipitation full life cycle management method based on digital twin Technical Field The invention relates to the technical field of industrial equipment management, in particular to a digital twinning-based electric precipitation full life cycle management method. Background The electric dust remover utilizes high-voltage electrostatic field to charge dust particles in flue gas, and is collected under the action of electric field force, so that the electric dust remover is widely applied to industrial fields of coal-fired power generation, ferrous metallurgy, cement building materials and the like, and is core equipment for controlling the emission of industrial smoke and dust and protecting the atmospheric environment. In view of the key role of the electric dust collector in industrial production and the high asset value thereof, the effective management of the full life cycle of the electric dust collector is important. This includes not only routine operation maintenance, but also physical reconstruction and technical reconstruction necessary to cope with equipment aging, operating condition variation or environmental standard improvement. How to scientifically decide, economically implement these modifications, and ensure continuous optimization is a core issue of ensuring long-term asset benefits and environmental benefits thereof. To improve the level of refinement of management, digital twinning techniques have been primarily introduced into the field of management of electric precipitators. However, existing applications mostly localize digital twin models as high performance simulators, whose primary role is limited to analog predictions of device physical performance or mirrored diagnostics of current state. When faced with complex physical reconstruction decisions, these models, while capable of predicting performance after modification, are unable to quantitatively evaluate the modification process itself. And there is a general lack of deduction capability for the key process costs of downtime, construction complexity and resource consumption required for different schemes, which results in decisions that remain monolithic. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an electric precipitation full life cycle management method based on digital twinning, which solves the problems that the prior digital twinning is applied to physical reconstruction decisions, the process cost of downtime, construction resources and the like cannot be quantitatively evaluated, so that the decision evaluation dimension is single and the result is one-sided. In order to achieve the purpose, the electric precipitation full life cycle management method based on digital twinning is achieved through the following technical scheme that a digital twinning basic model mapped with a physical electric precipitator is firstly built, and virtual components and a configuration knowledge base of the virtual components are stored. And then, monitoring the operation state of the physical electric dust collector, and identifying the performance bottleneck of the virtual component by using the digital twin basic model based on a preset triggering condition. And aiming at the performance bottleneck, calling a virtual component from the virtual component and the configuration knowledge base, and generating a candidate physical reconstruction scheme of the performance bottleneck. And carrying out comprehensive multi-objective collaborative evaluation on the candidate physical reconstruction scheme, wherein the multi-objective collaborative evaluation not only comprises conventional performance indexes and investment cost indexes, but also introduces quantitative calculation of process cost indexes and operation and maintenance cost indexes. The deduction calculation of the process cost index is completed through an Executable Reconstruction Process Model (ERPM) which is formed by analyzing and virtually executing all components in the scheme. The total downtime, construction labor cost and construction risk index of each scheme are accurately quantized through traversing the total construction flow chart spliced by ERPM, and a unified process cost index is formed through a weighting function: ; In the formula,Representing a specific candidate physical reconstruction scheme;,, Normalized weight coefficients for adjusting different cost priorities; Is the total downtime; The labor cost is required for construction; is a construction risk index. The evaluation of the operation and maintenance cost index is completed through the working mechanism of a hardware control associated protocol (HCCP). And generating a set of matched baseline control strategies based on the control characteristic fingerprints of the components while evaluating the physical structure, and immediately performing energy consumption simulation in a twin environment, thereby obtaining the operation and maintena