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CN-122012933-A - Aluminum ash treatment material carrying and smoke dust treatment method and system

CN122012933ACN 122012933 ACN122012933 ACN 122012933ACN-122012933-A

Abstract

The invention relates to the technical field of aluminum ash treatment, in particular to a method and a system for carrying and smoke dust treatment of aluminum ash treatment materials, wherein the method monitors the state data of the whole process of aluminum ash roasting in real time through multi-source sensing equipment, and cleans the reconstruction data by using wavelet threshold denoising and cubic spline interpolation algorithm; the method comprises the steps of utilizing end-side collaborative computing to analyze reconstruction data, detecting indexes such as material flow rate, kiln temperature and the like through a local outlier factor algorithm, generating totally-enclosed working condition coding information through feature vector mapping, fusing the working condition coding and reconstruction data, predicting the load change trend of a smoke purification system through a long-short-period memory network model, optimizing material conveying rate and induced air parameters through a depth deterministic strategy gradient algorithm based on the working condition coding and prediction results, converting the optimized parameters into variable frequency control instructions through a programmable logic controller, transmitting the variable frequency control instructions to each driving unit through an industrial Ethernet, and executing aluminum ash roasting and smoke purification operation to realize full-flow intelligent regulation and efficient treatment.

Inventors

  • WAN ZHIYONG

Assignees

  • 湖北宇宸新材料科技有限公司

Dates

Publication Date
20260512
Application Date
20260413

Claims (10)

  1. 1. A method for carrying and treating aluminum ash treatment materials, the method comprising: Monitoring the state data of the whole process of aluminum ash roasting in real time through multi-source sensing equipment, and cleaning and reconstructing the state data of the roasting process by adopting a wavelet threshold denoising and cubic spline interpolation algorithm; The reconstructed state data is analyzed by utilizing end-side cooperative computing, a local outlier factor algorithm is adopted to detect material flow rate, kiln temperature, negative pressure value and smoke emission index, and a feature vector mapping method is adopted to generate full-closed working condition coding information; Fusing the totally-enclosed working condition coding information and the reconstructed state data, and predicting the load change trend of the smoke purification system by using a long-and-short-term memory network model; optimizing the material conveying speed and induced air parameters by adopting a depth deterministic strategy gradient algorithm based on the coding information and the prediction result of the totally-enclosed working condition; the optimized operation parameters are converted into variable frequency control instructions through processing of a programmable logic controller, the variable frequency control instructions are transmitted through an industrial Ethernet, the variable frequency control instructions are issued to each driving unit, and aluminum ash roasting and smoke dust purifying operations are executed.
  2. 2. The aluminum ash treatment material carrying and smoke treatment method according to claim 1, wherein the real-time monitoring of aluminum ash roasting full-flow state data by a multi-source sensing device comprises: and acquiring parameters of the feeding quantity, the roasting temperature, the hearth negative pressure, the nitrogen oxide content and the dust concentration in the aluminum ash roasting process in real time by a weight sensor, a thermal infrared imager, a negative pressure transmitter, a gas analyzer and a dust concentration meter, so as to acquire the full-flow state data of aluminum ash roasting.
  3. 3. The aluminum ash handling material carrying and soot handling method of claim 1, wherein said cleaning and reconstructing the firing process state data using wavelet threshold denoising and cubic spline interpolation algorithms comprises: Carrying out multi-layer decomposition and threshold quantization processing on roasting process state data acquired in real time by utilizing a wavelet threshold denoising algorithm, filtering high-frequency interference noise, and outputting roasting process state data with stable trend; adopting a cubic spline interpolation algorithm to carry out smooth repair on data defects caused by the break points of the sensor; Abnormal value suppression is carried out on the state data of the roasting process after denoising and repairing through a robust normalization method, the data is compressed to a target interval through a self-adaptive normalization method, and high-precision and robust reconstructed state data is generated.
  4. 4. The method for carrying and processing aluminum ash treatment materials and smoke dust according to claim 1, wherein the method for analyzing the reconstructed state data by the cooperative calculation of the utilization end side, detecting the material flow rate, the kiln temperature, the negative pressure value and the smoke emission index by adopting a local outlier factor algorithm, and generating the totally-enclosed working condition coding information by a feature vector mapping method comprises the following steps: analyzing the reconstructed state data in real time through end-side cooperative calculation, extracting thermodynamic characteristics, flow field characteristics and pollutant evolution characteristics by using a time-frequency domain analysis method, and identifying a stable combustion mode, a coking early warning mode and a stewing heat preservation mode by using an unsupervised clustering algorithm; generating an environment monitoring structured matrix through the extracted features and modes by a feature coding method; Based on an environment monitoring structured matrix, detecting abnormal material blockage, severe fluctuation of furnace temperature and abnormal exceeding of standard of smoke emission in the aluminum ash roasting process by utilizing a local outlier factor algorithm; constructing a dynamic threshold judgment rule system according to the aluminum ash pyrolysis process standard and the environment-friendly emission limit value; And determining the current operation level according to the calculated abnormal deviation degree and combining a dynamic threshold judgment rule, and converting the operation level into full-closed working condition coding information by using a feature vector mapping method.
  5. 5. The method for carrying and processing the aluminum ash treatment material according to claim 1, wherein the step of fusing the totally-enclosed working condition coding information and the reconstructed state data, and predicting the load change trend of the ash purification system by using a long-term and short-term memory network model comprises the following steps: carrying out space-time alignment fusion on the reconstructed historical roasting state data and the historical totally-enclosed working condition coding information to construct a multivariate time sequence sample library; Dividing the constructed multivariable time sequence sample library into a model training set, a verification set and a test set by adopting a sliding window segmentation technology, and carrying out iterative training and super-parameter optimizing on a long-period memory network model; and inputting the real-time updated fused state data into a training mature long-short-period memory network model, and outputting the load change trend of the smoke purification system in a future set period.
  6. 6. The aluminum ash treatment material carrying and smoke treatment method according to claim 1, wherein the optimizing the material conveying speed and the induced air parameters by adopting a depth deterministic strategy gradient algorithm based on the fully-closed working condition coding information and the prediction result comprises: Constructing a multidimensional state space through the totally-enclosed working condition coding information and the load change trend of the smoke purification system; Taking the recovery rate of aluminum ash and aluminum oxide, the energy consumption of ton material treatment and the service life loss of purifying equipment as evaluation indexes, converting the evaluation indexes into standard rewards, introducing a dynamic adjustment mechanism to balance weight coefficients of all control targets, and constructing a rewarding function; Building a high-temperature roasting simulation environment based on the constructed multidimensional state space, action space and rewarding function; Initializing and configuring weight parameters in each intelligent agent network by adopting a normal distribution strategy; And performing cyclic interactive training on the constructed high-temperature roasting simulation environment and the initialized intelligent agent, and outputting the optimal material conveying rate and induced draft parameters through a depth deterministic strategy gradient algorithm.
  7. 7. The aluminum ash treatment material carrying and smoke treatment method according to claim 1, wherein the processing by the programmable logic controller converts the optimized operation parameters into variable frequency control instructions, and transmits the variable frequency control instructions to each driving unit through industrial ethernet, and executing aluminum ash roasting and smoke purification operations comprises: Generating corresponding frequency control pulses through a PID module in the programmable logic controller according to the optimized material conveying rate and the induced air parameters; Encapsulating the frequency control pulse into a standard industrial message, mapping the standard industrial message to an industrial Ethernet protocol stack and transmitting the standard industrial message to each variable frequency drive unit; the driving unit analyzes the received frequency control pulse, adjusts the rotating speed of the motor to match with the appointed operation parameters, and realizes the airtight conveying of aluminum ash and the efficient purification treatment of smoke dust.
  8. 8. An aluminum ash treatment material carrying and soot treatment system, said system comprising: the data sensing module is used for monitoring the state data of the whole process of aluminum ash roasting in real time through multi-source sensing equipment, and cleaning and reconstructing the state data of the roasting process by adopting wavelet threshold denoising and cubic spline interpolation algorithm; the working condition coding module is used for analyzing the reconstructed state data by utilizing end-side cooperative calculation, detecting material flow rate, kiln temperature, negative pressure value and smoke emission index by adopting a local outlier factor algorithm, and generating totally-enclosed working condition coding information by a feature vector mapping method; The trend prediction module is used for fusing the totally-enclosed working condition coding information and the reconstructed state data and predicting the load change trend of the smoke purification system by utilizing the long-and-short-term memory network model; The parameter optimization module is used for optimizing the material conveying speed and the induced air parameter by adopting a depth deterministic strategy gradient algorithm based on the totally-enclosed working condition coding information and the prediction result; the instruction execution module is used for converting the optimized operation parameters into variable frequency control instructions through processing of the programmable logic controller, transmitting the variable frequency control instructions to each driving unit through industrial Ethernet, and executing aluminum ash roasting and smoke dust purifying operation.
  9. 9. An aluminium ash treatment material carrying and dusting treatment apparatus comprising a memory, a processor and an aluminium ash treatment material carrying and dusting treatment program stored on the memory and operable on the processor, the aluminium ash treatment material carrying and dusting treatment program being configured to implement the steps of the aluminium ash treatment material carrying and dusting treatment method according to any one of claims 1 to 7.
  10. 10. A computer readable storage medium, characterized in that it has stored thereon an aluminium ash treatment material carrying and dust treatment program, which when executed by a processor, implements the steps of the aluminium ash treatment material carrying and dust treatment method according to any one of claims 1 to 7.

Description

Aluminum ash treatment material carrying and smoke dust treatment method and system Technical Field The invention relates to the technical field of aluminum ash treatment, in particular to a method and a system for carrying aluminum ash treatment materials and treating smoke dust. Background Along with the continuous increase of industrial hazardous waste production in China, aluminum ash is used as typical hazardous waste generated in the production process of electrolytic aluminum and regenerated aluminum, and harmless treatment and recycling of the aluminum ash are important subjects in the field of environmental protection. The traditional aluminum ash disposal mode mostly adopts landfill or simple water washing, not only occupies a large amount of land resources, but also is easy to cause secondary pollution such as fluoride, ammonia nitrogen, heavy metal and the like. In recent years, a high-temperature roasting method is gradually becoming a mainstream treatment process because of the high-efficiency recovery of metal aluminum in aluminum ash and the remarkable reduction of toxic leaching risks. However, in the actual operation process, the aluminum ash high-temperature roasting system generally has the problems of uneven material conveying, large thermal fluctuation in the kiln, high sudden discharge of smoke pollutants (such as ammonia gas, fluoride and particulate matters) and the like, and seriously influences the system stability and the environment-friendly standard level. In the prior art, partial enterprises try to realize automatic operation of the roasting process through a PLC control system, but the control strategy is mostly based on fixed threshold values or experience rules, and the dynamic sensing and self-adaptive adjusting capability of complex working conditions is lacked. Meanwhile, the smoke purification system usually operates independently, and cannot form linkage control with the front-end roasting process, so that the phenomenon of purification efficiency reduction or excessive energy consumption occurs when the load is suddenly changed. In addition, because the fluctuation of the aluminum ash component is severe, the sensor is easily interfered by a high-temperature high-dust environment, and the acquired data is often accompanied with noise, missing and drift, so that the accuracy of subsequent analysis and control decisions is directly affected. Although studies have introduced data-driven models for fault diagnosis or trend prediction, there are many focused on offline analysis, it is difficult to meet real-time requirements, and complete intelligent control chains from sensing, diagnosis, prediction to closed-loop optimization are not constructed. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide an aluminum ash treatment material carrying and smoke dust treatment method and system, and aims to solve the technical problems that the existing aluminum ash high-temperature roasting treatment system has poor data quality, weak working condition sensing capability, disjointed material conveying and smoke dust purification control, lack of a dynamic prediction and self-adaptive optimization mechanism and difficulty in realizing collaborative management and control of stable operation and ultralow emission. In order to achieve the above object, the present invention provides a method for carrying and treating aluminum ash treatment materials, the method comprising: Monitoring the state data of the whole process of aluminum ash roasting in real time through multi-source sensing equipment, and cleaning and reconstructing the state data of the roasting process by adopting a wavelet threshold denoising and cubic spline interpolation algorithm; The reconstructed state data is analyzed by utilizing end-side cooperative computing, a local outlier factor algorithm is adopted to detect material flow rate, kiln temperature, negative pressure value and smoke emission index, and a feature vector mapping method is adopted to generate full-closed working condition coding information; Fusing the totally-enclosed working condition coding information and the reconstructed state data, and predicting the load change trend of the smoke purification system by using a long-and-short-term memory network model; optimizing the material conveying speed and induced air parameters by adopting a depth deterministic strategy gradient algorithm based on the coding information and the prediction result of the totally-enclosed working condition; the optimized operation parameters are converted into variable frequency control instructions through processing of a programmable logic controller, the variable frequency control instructions are transmitted through an industrial Ethernet, the variabl