CN-121998626-A - Chromatograph cleaning method, chromatograph cleaning system, intelligent terminal and storage medium

CN121998626ACN 121998626 ACN121998626 ACN 121998626ACN-121998626-A

Abstract

The invention relates to the technical field of data cleaning and discloses a chromatograph cleaning method, a chromatograph cleaning system, an intelligent terminal and a storage medium, wherein the method comprises the steps of carrying out structural analysis on multidimensional operation trace data and historical cleaning cases of the chromatograph to obtain pollution characteristic data of the chromatograph; the method comprises the steps of performing topology construction on cleaning state characteristics in a historical cleaning case to obtain a cleaning knowledge graph, performing optimal path deduction on the cleaning knowledge graph to obtain an individualized cleaning track, performing decision deduction on the individualized cleaning track to obtain an initial cleaning scheme, performing look-ahead planning on the initial cleaning scheme to obtain an optimal cleaning scheme, performing multi-stage collaborative cleaning on a chromatograph based on the optimal cleaning scheme to obtain a cleanliness evaluation characterization, and performing graph structure optimization on the cleaning knowledge graph based on the cleanliness evaluation characterization and the optimal cleaning scheme to obtain the optimal cleaning knowledge graph.

Inventors

Jing Lantian
MENG SHUO
CAO YONG
LI MINQI
LI JIE

Assignees

瑞莱谱(杭州)医疗科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260408

Claims (10)

1. A method of cleaning a chromatograph, the method comprising: s1, acquiring multidimensional operation trace data and historical cleaning cases of a chromatograph, and carrying out structural analysis on the multidimensional operation trace data to obtain pollution characteristic data of the chromatograph; S2, extracting cleaning state characteristics in the historical cleaning cases, and performing topology construction on the cleaning state characteristics to obtain a cleaning knowledge graph of the chromatograph; S3, carrying out optimal path deduction on the cleaning knowledge graph based on the pollution characteristic data to obtain a personalized cleaning track of the chromatograph; s4, carrying out decision deduction on the personalized cleaning track to obtain an initial cleaning scheme of the chromatograph, and carrying out prospective planning on the initial cleaning scheme to obtain an optimized cleaning scheme of the chromatograph; S5, based on the optimized cleaning scheme, performing multi-stage collaborative cleaning on the chromatograph to obtain cleanliness evaluation characterization of the chromatograph; s6, optimizing the spectrum structure of the cleaning knowledge spectrum based on the cleanliness evaluation characterization and the optimized cleaning scheme to obtain an optimized cleaning knowledge spectrum of the chromatograph.
2. The method for cleaning a chromatograph according to claim 1, wherein the steps of obtaining multidimensional trace data and historical cleaning cases of the chromatograph, and performing structural analysis on the multidimensional trace data to obtain pollution characteristic data of the chromatograph include: searching a cleaning process record of the chromatograph to obtain a historical cleaning case of the chromatograph; synchronously collecting time sequence records and maintenance log files of an embedded sensor of the chromatograph to obtain multidimensional operation trace data of the chromatograph; performing characteristic waveform separation on the multidimensional operation trace data to obtain pressure fluctuation data and temperature anomaly data of the chromatograph; carrying out spectral characteristic peak extraction on the multidimensional operation trace data to obtain inner wall material component data of the chromatograph; And carrying out association fusion on the pressure fluctuation characteristic data, the temperature abnormality characteristic data and the inner wall substance component data to obtain pollution characteristic data of the chromatograph.
3. The method for cleaning a chromatograph according to claim 1, wherein the extracting the cleaning state features in the historical cleaning cases, performing topology construction on the cleaning state features, and obtaining the cleaning knowledge graph of the chromatograph, includes: carrying out semantic analysis on the history cleaning case to obtain pollution state semantic description of the history cleaning case; Vectorizing and encoding the pollution state semantic description to obtain a cleaning state feature vector of the pollution state semantic description; Based on the historical cleaning cases, carrying out logic deduction on the cleaning state feature vector to obtain a causal conversion relation of the cleaning state feature vector; Performing probability fitting on the cleaning state feature vector based on the historical cleaning case to obtain transition probability of the cleaning state feature vector; and constructing a cleaning knowledge graph of the chromatograph by taking the cleaning state feature vector as a node and taking the causal conversion relation and the transition probability as edges.
4. The method for cleaning a chromatograph according to claim 1, wherein the performing optimal path deduction on the cleaning knowledge graph based on the pollution characteristic data to obtain a personalized cleaning track of the chromatograph comprises: Performing map node mapping on the pollution characteristic data to obtain target pollution nodes of the pollution characteristic data; performing path enumeration on the cleaning knowledge graph based on the target pollution node to obtain candidate cleaning paths of the cleaning knowledge graph; performing multi-objective comprehensive evaluation on the candidate cleaning paths to obtain comprehensive cost indexes of the candidate cleaning paths; and carrying out path optimization on the candidate cleaning paths based on the comprehensive cost index to obtain personalized cleaning tracks of the chromatograph.
5. The method for cleaning a chromatograph according to claim 1, wherein the decision deduction is performed on the personalized cleaning track to obtain an initial cleaning solution of the chromatograph, and the initial cleaning solution is planned in a look-ahead manner to obtain an optimized cleaning solution of the chromatograph, which comprises: Performing sequential logic analysis on the personalized cleaning track to obtain a basic cleaning action sequence of the personalized cleaning track; Performing strategy packaging on the basic cleaning action sequence to obtain an initial cleaning scheme of the chromatograph; Virtually mapping the initial cleaning scheme to obtain a simulation copy of the initial cleaning scheme; performing multidimensional parameter disturbance on the simulation copy to obtain a virtual execution effect of the initial cleaning scheme under a multi-disturbance scene; performing mining analysis on the virtual execution effect to obtain the optimization potential of the initial cleaning scheme; Mapping the optimized potential to the initial cleaning scheme to obtain an optimized cleaning scheme of the chromatograph.
6. The method of claim 1, wherein the performing a multi-stage collaborative cleaning of the chromatograph based on the optimized cleaning protocol to obtain a cleanliness assessment characterization of the chromatograph comprises: Performing multi-stage cleaning operation on the chromatograph based on the optimized cleaning scheme, and collecting stage cleaning data of the chromatograph; Multidimensional analysis is carried out on the stage cleaning data to obtain real-time pollutant load data, real-time monitoring data of pressure and temperature and accumulated cleaning agent consumption data of the stage cleaning data; obtaining the current pollutant removal rate increment of the chromatograph according to the current stage data and the previous stage data of the real-time pollutant load data; normalizing the accumulated data of the consumption of the cleaning agent and the real-time monitoring data of the pressure and the temperature at the current stage to obtain the current resource consumption factor of the chromatograph; Determining the state transition efficiency of the chromatograph according to the causal conversion relation and the transition probability in the current pollutant removal rate increment and the cleaning knowledge graph; Performing correlation regression analysis on the cleaning state feature vector and cleaning effect evaluation data of the chromatograph based on the historical cleaning case to obtain a dynamic efficiency weight coefficient of the cleaning state feature vector; Calculating a cleanliness assessment characterization of the chromatograph, wherein the cleanliness assessment characterization is calculated according to the following formula: Calculating a cleanliness assessment characterization of the chromatograph, wherein the cleanliness assessment characterization is calculated according to the following formula: ; Wherein, the For the purpose of the cleanliness assessment characterization, For the total number of washing stages of the chromatograph, For the increase in the contaminant removal rate, For the purpose of the state transition efficiency described, For the current resource consumption factor to be used, In order to be a dynamic performance weighting factor, For the inter-stage coupling gain factor, For the resource consumption penalty factor, Is a nonlinear amplification factor of resource consumption.
7. The method for cleaning a chromatograph according to claim 1, wherein the optimizing the cleaning knowledge graph based on the cleanliness assessment characterization and the optimized cleaning solution includes: performing efficacy dimension analysis on the cleanliness evaluation characterization to obtain contribution of the chromatograph; Deconstructing and analyzing the optimized cleaning scheme to obtain stage characteristics and action parameters in the optimized cleaning scheme; Taking the stage characteristics as state nodes in the cleaning knowledge graph, and taking the action parameters as directed edges in the cleaning knowledge graph to obtain path burning of the chromatograph; And dynamically enhancing the transition probability weight of the directed edge in the path burning based on the contribution degree, and cooperatively updating the attribute vector of the state node in the path burning to obtain the optimized cleaning knowledge graph of the chromatograph.
8. A chromatograph cleaning system for implementing a chromatograph cleaning method as set forth in claim one, said system comprising: the pollution characteristic data screening module is used for acquiring multidimensional operation trace data and historical cleaning cases of the chromatograph, and carrying out structural analysis on the multidimensional operation trace data to obtain pollution characteristic data of the chromatograph; The cleaning knowledge graph construction module is used for extracting cleaning state characteristics in the historical cleaning cases, and carrying out topology construction on the cleaning state characteristics to obtain a cleaning knowledge graph of the chromatograph; The cleaning path deduction module is used for carrying out optimal path deduction on the cleaning knowledge graph based on the pollution characteristic data to obtain a personalized cleaning track of the chromatograph; The cleaning scheme generation module is used for carrying out decision deduction on the personalized cleaning track to obtain an initial cleaning scheme of the chromatograph, and carrying out prospective planning on the initial cleaning scheme to obtain an optimized cleaning scheme of the chromatograph; The cooperative execution module is used for carrying out multistage cooperative cleaning on the chromatograph based on the cleaning optimization track so as to obtain the cleanliness evaluation characterization of the chromatograph; And the spectrum structure optimization module is used for optimizing the spectrum structure of the cleaning knowledge spectrum based on the cleanliness evaluation characterization and the cleaning optimization track to obtain an optimized cleaning knowledge spectrum of the chromatograph.
9. A computer intelligent terminal comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method according to any one of claims 1 to 7.
10. A storage medium having stored thereon a computer program, which when executed by a processor performs the steps of the method according to any of claims 1 to 7.

Description

Chromatograph cleaning method, chromatograph cleaning system, intelligent terminal and storage medium Technical Field The invention relates to the technical field of data cleaning, in particular to a chromatograph cleaning method, a chromatograph cleaning system, an intelligent terminal and a storage medium. Background In the prior chromatograph cleaning related technology, multidimensional data acquisition and analysis in the operation process of an intelligent terminal are not comprehensive and deep enough, and information such as sensor time sequence records, maintenance logs and historical cleaning cases are difficult to integrate systematically, so that pollution characteristic data cannot be captured accurately, and deviation exists in judgment of a pollution state. Meanwhile, the establishment of a cleaning scheme depends on a fixed flow or experience judgment, the adaptive design for specific pollution conditions is lacking, a targeted cleaning strategy is difficult to form, and the problems of incomplete cleaning or excessive consumption of resources are caused. In addition, the prior art lacks dynamic optimization and knowledge precipitation mechanisms for the cleaning process, lacks multi-scenario simulation verification and potential mining after an initial cleaning scheme is formulated, cannot avoid unreasonable parts in the execution process in advance, and the feedback of the effect after cleaning is difficult to effectively reverse the optimization of a subsequent scheme, so that the cleaning efficiency and the stability of the effect are insufficient. Therefore, how to improve the cleaning accuracy and efficiency of the chromatograph becomes a urgent problem to be solved. Disclosure of Invention The disclosure provides a chromatograph cleaning method, a chromatograph cleaning system, an intelligent terminal and a storage medium. In a first aspect, the present disclosure provides a chromatograph cleaning method comprising: s1, acquiring multidimensional operation trace data and historical cleaning cases of a chromatograph, and carrying out structural analysis on the multidimensional operation trace data to obtain pollution characteristic data of the chromatograph; S2, extracting cleaning state characteristics in the historical cleaning cases, and performing topology construction on the cleaning state characteristics to obtain a cleaning knowledge graph of the chromatograph; S3, carrying out optimal path deduction on the cleaning knowledge graph based on the pollution characteristic data to obtain a personalized cleaning track of the chromatograph; s4, carrying out decision deduction on the personalized cleaning track to obtain an initial cleaning scheme of the chromatograph, and carrying out prospective planning on the initial cleaning scheme to obtain an optimized cleaning scheme of the chromatograph; S5, based on the optimized cleaning scheme, performing multi-stage collaborative cleaning on the chromatograph to obtain cleanliness evaluation characterization of the chromatograph; s6, optimizing the spectrum structure of the cleaning knowledge spectrum based on the cleanliness evaluation characterization and the optimized cleaning scheme to obtain an optimized cleaning knowledge spectrum of the chromatograph. In a preferred embodiment, the steps of obtaining multidimensional trace data and historical cleaning cases of the chromatograph, and performing structural analysis on the multidimensional trace data to obtain pollution characteristic data of the chromatograph include: searching a cleaning process record of the chromatograph to obtain a historical cleaning case of the chromatograph; synchronously collecting time sequence records and maintenance log files of an embedded sensor of the chromatograph to obtain multidimensional operation trace data of the chromatograph; performing characteristic waveform separation on the multidimensional operation trace data to obtain pressure fluctuation data and temperature anomaly data of the chromatograph; carrying out spectral characteristic peak extraction on the multidimensional operation trace data to obtain inner wall material component data of the chromatograph; And carrying out association fusion on the pressure fluctuation characteristic data, the temperature abnormality characteristic data and the inner wall substance component data to obtain pollution characteristic data of the chromatograph. In a preferred embodiment, the extracting the cleaning state features in the historical cleaning case, performing topology construction on the cleaning state features, and obtaining a cleaning knowledge graph of the chromatograph includes: carrying out semantic analysis on the history cleaning case to obtain pollution state semantic description of the history cleaning case; Vectorizing and encoding the pollution state semantic description to obtain a cleaning state feature vector of the pollution state semantic description; Based on the historical cleani