CN116068111B - Chromatographic data analysis method, chromatographic data analysis device, chromatographic data analysis equipment and chromatographic data analysis computer medium - Google Patents
Chromatographic data analysis method, chromatographic data analysis device, chromatographic data analysis equipment and chromatographic data analysis computer medium Download PDFInfo
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Abstract
Embodiments of the present disclosure disclose chromatographic data analysis methods, apparatus, devices and computer media. One embodiment of the method comprises the following steps: clustering each chromatographic data included in the chromatographic information set according to the chromatographic data name included in the chromatographic information set; determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result; determining an abnormal chromatographic data set; marking each chromatographic information according to the respective abnormal chromatographic data set to generate first marked chromatographic information; performing feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information; analyzing and clustering the chromatographic characteristic information set to generate a chromatographic characteristic information set; a second set of signature chromatographic information is generated based on the set of chromatographic characteristic information sets. This embodiment shortens the detection time.
Description
Technical Field
Embodiments of the present disclosure relate to the field of chromatography, and in particular, to chromatography data analysis methods, apparatus, devices, and computer media.
Background
The chromatograph is a device for performing chromatographic analysis, has high sensitivity and automation degree, is widely applied to chemical product analysis experiments, and often leads to inaccurate experimental results if improper operation or unsatisfied experimental environment is performed in the process of operating the chromatograph for experiments. Currently, for detection of chromatographic test data, the following methods are generally adopted: the chromatographic data were checked by an auditor.
However, the following technical problems generally exist in the above manner: the method for detecting the chromatographic data is single, the detection result of the chromatographic data has deviation, and the detection time is not longer.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose chromatographic data analysis methods, apparatuses, computer devices and computer-readable storage media to solve the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method of chromatographic data analysis, the method comprising: acquiring a chromatographic information set generated by a chromatograph, wherein the chromatographic information in the chromatographic information set comprises a chromatographic data set, and chromatographic data in the chromatographic data set comprises a chromatographic data name and a corresponding chromatographic data value; clustering each chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set to obtain a chromatographic data set, wherein the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same; for each of the above sets of chromatographic data, the following processing steps are performed: determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set; determining an abnormal chromatographic data set according to the detection result set; marking each piece of chromatographic information in the chromatographic information set according to each determined abnormal chromatographic data set to generate first marked chromatographic information, so as to obtain a first marked chromatographic information set; performing feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information, so as to obtain a chromatographic feature information set; analyzing and clustering the chromatographic characteristic information set to generate a chromatographic characteristic information set; generating a second set of labeled chromatographic information based on the set of chromatographic characteristic information sets; and transmitting the first mark chromatographic information set and the second mark chromatographic information set to a target chromatographic data monitoring terminal.
In a second aspect, some embodiments of the present disclosure provide a chromatographic data analysis device, the device comprising: an acquisition unit configured to acquire a set of chromatographic information generated by a chromatograph, wherein the chromatographic information in the set of chromatographic information includes a set of chromatographic data, the chromatographic data in the set of chromatographic data including a chromatographic data name and a corresponding chromatographic data value; a clustering unit configured to perform clustering processing on each piece of chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set to obtain a chromatographic data set, wherein the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same; a determining unit configured to perform, for each of the above sets of chromatographic data, the following processing steps: determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set; determining an abnormal chromatographic data set according to the detection result set; a marking unit configured to mark each of the above-mentioned sets of chromatographic information according to the determined respective sets of abnormal chromatographic data to generate first marked chromatographic information, resulting in a first set of marked chromatographic information; an extraction unit configured to perform feature extraction processing on each of the above-described sets of chromatographic information to generate chromatographic feature information, resulting in a set of chromatographic feature information; the analysis unit is configured to perform analysis clustering processing on the chromatographic characteristic information set so as to generate a chromatographic characteristic information set; a generation unit configured to generate a second set of labeled chromatographic information based on the set of chromatographic characteristic information; and a transmitting unit configured to transmit the first set of tag chromatographic information and the second set of tag chromatographic information to a target chromatographic data monitoring terminal.
In a third aspect, some embodiments of the present disclosure provide a computer apparatus comprising a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program when executed by the processor implements a method as described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method as described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantageous effects: by the chromatographic data analysis method of some embodiments of the present disclosure, the detection time is shortened. Specifically, the reason why the undetectable time is long is that: the detection mode of the chromatographic data is single, and the detection result of the chromatographic data has deviation. Based on this, the chromatographic data analysis method of some embodiments of the present disclosure first acquires a chromatographic information set generated by a chromatograph. Wherein the chromatographic information in the set of chromatographic information comprises a chromatographic data set, and the chromatographic data in the chromatographic data set comprises a chromatographic data name and a corresponding chromatographic data value. Thus, the chromatographic data can be analyzed. And secondly, clustering each chromatographic data included in the chromatographic information set according to the chromatographic data name included in the chromatographic information set to obtain a chromatographic data set. Wherein, the corresponding chromatographic data names of the chromatographic data groups in the chromatographic data group are the same. Thus, the same chromatographic data corresponding to a plurality of different chromatographic information can be conveniently analyzed. Next, for each of the above sets of chromatographic data, the following processing steps are performed: first, standard chromatographic data information is determined based on the chromatographic data name corresponding to the chromatographic data group. Wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval. Thus, the chromatographic data can be detected using standard chromatographic data information. And secondly, detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set. Then, an abnormal chromatographic data set is determined based on the detection result set. Thus, detection of the chromatographic data can be completed based on the set standard chromatographic data information. And then, marking each chromatographic information in the chromatographic information set according to the determined abnormal chromatographic data groups to generate first marked chromatographic information, so as to obtain a first marked chromatographic information set. Thus, abnormal data in the chromatographic information can be marked. Then, carrying out feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information, and obtaining a chromatographic feature information set; and carrying out analysis clustering processing on the chromatographic characteristic information set to generate a chromatographic characteristic information set. Then, a second set of labeled chromatographic information is generated based on the set of chromatographic characteristic information. Thus, the abnormal chromatographic information can be marked from the group perspective. And finally, the first mark chromatographic information set and the second mark chromatographic information set are sent to a target chromatographic data monitoring terminal. Therefore, the chromatographic data can be detected from multiple angles, deviation of detection results of the chromatographic data is avoided, and detection time is shortened.
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The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a chromatography data analysis method according to the present disclosure;
FIG. 2 is a schematic structural view of some embodiments of a chromatographic data analysis device according to the present disclosure;
fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flow chart of some embodiments of a chromatography data analysis method according to some embodiments of the present disclosure. A flow 100 of some embodiments of a chromatography data analysis method according to the present disclosure is shown. The chromatographic data analysis method comprises the following steps:
In some embodiments, the subject (e.g., server) performing the chromatographic data analysis method may obtain the chromatographic information set generated by the chromatograph by way of a wired connection or a wireless connection. Wherein the chromatographic information in the set of chromatographic information comprises a chromatographic data set, and the chromatographic data in the chromatographic data set comprises a chromatographic data name and a corresponding chromatographic data value. The chromatographic data set may include chromatographic data names including, but not limited to: column temperature, volume flow, baseline, peak time, peak height, peak area, peak position. The chromatographic data value may refer to a numerical value corresponding to a chromatographic data name.
In some embodiments, the executing body may perform clustering processing on each piece of chromatographic data included in the chromatographic information set according to a chromatographic data name included in the chromatographic information set, to obtain a chromatographic data set. Wherein, the corresponding chromatographic data names of the chromatographic data groups in the chromatographic data group are the same. That is, the respective pieces of chromatographic data having the same chromatographic data name included in the set of chromatographic information may be grouped into one type to obtain a set of chromatographic data groups.
In some embodiments, the execution body may determine standard chromatographic data information according to a chromatographic data name corresponding to the chromatographic data group. Wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval. That is, the standard chromatographic data information corresponding to the chromatographic data name among the predetermined plurality of standard chromatographic data information may be searched for based on the chromatographic data name. That is, the standard chromatographic data information includes the same chromatographic data name as the chromatographic data name corresponding to the above-described chromatographic data group. Here, the chromatographic data value section may be a section of a chromatographic data value corresponding to the set chromatographic data name.
In some embodiments, the executing body may detect each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, so as to obtain a detection result set. That is, for each of the chromatographic data in the chromatographic data group, first, it is determined whether or not the chromatographic data value included in the chromatographic data is within the chromatographic data value section included in the standard chromatographic data information. Then, in response to determining that the chromatographic data value included in the chromatographic data is not within the chromatographic data value interval included in the standard chromatographic data information, a detection result characterizing the chromatographic data abnormality is generated. And finally, generating a detection result representing that the chromatographic data is normal in response to determining that the chromatographic data value included in the chromatographic data is within the chromatographic data value interval included in the standard chromatographic data information.
In some embodiments, the executing entity may determine an abnormal chromatographic data set according to the detection result set. That is, the chromatographic data corresponding to the detection result indicating the abnormality of the chromatographic data in the detection result group is determined as the abnormal chromatographic data, and the abnormal chromatographic data group is obtained.
And 104, marking each chromatographic information in the chromatographic information set according to the determined abnormal chromatographic data sets to generate first marked chromatographic information, and obtaining a first marked chromatographic information set.
In some embodiments, the executing entity may mark each of the chromatographic information in the set of chromatographic information according to the determined abnormal chromatographic data set to generate first marked chromatographic information, to obtain a first marked chromatographic information set.
In practice, the execution subject may tag each of the set of chromatographic information by:
first, determining each abnormal chromatographic data corresponding to the chromatographic information.
And a second step of marking the chromatographic data corresponding to each abnormal chromatographic data in the chromatographic information to generate first marked chromatographic information. Here, the marking may refer to a tag to which an abnormal word is added.
And 105, performing feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information, thereby obtaining a chromatographic feature information set.
In some embodiments, the executing body may perform feature extraction processing on each of the chromatographic information sets to generate chromatographic feature information, so as to obtain a chromatographic feature information set. Here, the feature extraction processing may be performed on each of the above-described sets of the chromatographic information by principal component analysis to generate chromatographic feature information, resulting in a set of the chromatographic feature information. Principal component analysis may be referred to as PCA (Principal Components Analysis) analysis. The chromatographic data group (chromatographic column temperature, volume flow, baseline, peak time, chromatographic peak height, chromatographic peak area and chromatographic peak position) included in the chromatographic information can be subjected to dimension reduction analysis to obtain the chromatographic characteristic information. The chromatographic characteristic information may include, among other things, a part of the important characteristics in chromatographic column temperature, volume flow, baseline, peak time, chromatographic peak height, chromatographic peak area, chromatographic peak position.
And 106, performing analysis and clustering processing on the chromatographic characteristic information set to generate a chromatographic characteristic information set.
In some embodiments, the executing body may perform a analytical clustering process on the set of chromatographic characteristic information to generate a set of chromatographic characteristic information sets. Analytical clustering may refer to outlier clustering. That is, the above-described chromatographic feature information set may be subjected to a analytical clustering process by an outlier clustering algorithm DBSCAN (Density-Based Spatial Clustering of Applications with Noise) to generate a chromatographic feature information set.
In practice, first, the above-described chromatographic characteristic information set may be subjected to an outlier clustering process to generate a chromatographic characteristic information set. Here, the chromatographic characteristic information in the chromatographic characteristic information group set includes a cluster tag. The cluster labels may represent outlier clusters or cluster clusters. That is, the individual chromatographic characteristic information, which includes the cluster label expressed as an outlier cluster, may be grouped into an outlier chromatographic characteristic information group. Individual chromatographic characteristic information, which is represented as a cluster by the contained cluster tag, may be aggregated into a cluster chromatographic characteristic information group. Combining the outlier and cluster chromatographic characteristic information into a chromatographic characteristic information set.
In some embodiments, the executing entity may generate the second set of labeled chromatographic information based on the set of chromatographic characteristic information sets. Wherein the chromatographic characteristic information in the chromatographic characteristic information set includes: and the chromatographic characteristic variable comprises at least one chromatographic data characteristic value and corresponding chromatographic data, and the chromatographic data characteristic value corresponds to the chromatographic data. Here, the chromatographic data characteristic value may be a chromatographic data characteristic coefficient of an outlier cluster corresponding to chromatographic data generated in the principal component analysis process.
In practice, based on the set of chromatographic characteristic information sets, the executing entity may generate a second set of labeled chromatographic information by:
in the first step, the chromatographic characteristic information set satisfying the abnormal condition in the chromatographic characteristic information set is determined as an abnormal chromatographic characteristic information set. Here, the abnormal condition may mean that the cluster tag included in the chromatographic characteristic information group is expressed as an outlier cluster.
And a second step of performing target clustering processing on each chromatographic data included in the abnormal chromatographic characteristic information set according to the chromatographic data characteristic values included in the abnormal chromatographic characteristic information set so as to generate a target chromatographic data set. That is, the respective chromatographic data having the same included chromatographic data name may be grouped into one type to obtain the target chromatographic data group set.
Third, for each target chromatographic data set in the target chromatographic data set, the following processing steps are performed:
and a first sub-step of determining each chromatographic data characteristic value corresponding to the target chromatographic data set as a chromatographic data characteristic value set.
And a second sub-step of performing ascending processing on each chromatographic data characteristic value included in the chromatographic data characteristic value group to obtain a chromatographic data characteristic value sequence.
And a third sub-step of selecting a target number of characteristic values of the chromatographic data from the characteristic value sequence of the chromatographic data as characteristic values of the abnormal chromatographic data to obtain an abnormal characteristic value group of the chromatographic data. Here, the setting of the target number is not limited.
And a fourth sub-step of determining each target chromatographic data corresponding to the characteristic value group of the abnormal chromatographic data as an abnormal chromatographic data group.
And a fourth step of generating a second marked chromatographic information set according to the abnormal chromatographic characteristic information set and the determined abnormal chromatographic data sets.
In practice, first, for each of the above-described abnormal chromatographic characteristic information sets, the following processing steps are performed:
a first sub-step of determining, as a target abnormal chromatographic data set, each abnormal chromatographic data set corresponding to the abnormal chromatographic characteristic information in each abnormal chromatographic data set.
And a second sub-step of determining the chromatographic information corresponding to the abnormal chromatographic characteristic information as chromatographic information to be marked.
And a third sub-step of performing a labeling process on the chromatographic data included in the chromatographic information to be labeled according to the target abnormal chromatographic data set to generate second labeled chromatographic information. That is, each of the chromatogram data corresponding to the target abnormal chromatogram data group in the chromatogram information to be marked is marked to generate second marked chromatogram information. Here, the marking may refer to a marking of an abnormal word at the chromatographic data corresponding to the target abnormal chromatographic data.
Then, each of the generated second mark color spectrum information is determined as a second mark color spectrum information set.
And step 108, transmitting the first marked chromatographic information set and the second marked chromatographic information set to a target chromatographic data monitoring terminal.
In some embodiments, the executing entity transmits the first set of tag chromatographic information and the second set of tag chromatographic information to a target chromatographic data monitoring terminal. Here, the target chromatographic data monitoring terminal may refer to a terminal that further parses the first set of marker chromatographic information and the second set of marker chromatographic information. For example, the target chromatographic data monitoring terminal may be a chromatographic analysis system.
In practice, the executing entity may send the first set of tag chromatographic information and the second set of tag chromatographic information to the target chromatographic data monitoring terminal by:
the first step, obtaining terminal attribute information of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster to obtain a terminal attribute information set. Here, the terminal attribute information may represent attribute information of the chromatographic data monitoring terminal, and may include, but is not limited to: process number, memory index, load index, pressure control range, pressure control accuracy, flow control range, flow control accuracy, temperature control range, temperature control accuracy, temperature ramp rate, detector sensitivity, separation, linear range, repeatability, etc.
And secondly, carrying out feature extraction processing on each terminal attribute information in the terminal attribute information set to generate terminal attribute feature information, and obtaining a terminal attribute feature information set. Here, feature extraction processing may be performed on each terminal attribute information in the above-described terminal attribute information set by principal component analysis to generate terminal attribute feature information, resulting in a terminal attribute feature information set. Namely, important attribute indexes in the terminal attribute information are extracted.
And thirdly, clustering the terminal attribute characteristic information set to generate a terminal attribute characteristic information set and a cluster center terminal attribute characteristic information set. The terminal attribute characteristic information set in the terminal attribute characteristic information set corresponds to cluster center terminal attribute characteristic information in the cluster center terminal attribute characteristic information set. That is, the terminal attribute feature information set may be clustered by a K-means (K-means) clustering algorithm to generate a terminal attribute feature information set and a cluster center terminal attribute feature information set. Here, no setting is made as to the number of cluster centers.
And fourthly, determining the grading value corresponding to the attribute characteristic information of each cluster center terminal in the cluster center terminal attribute characteristic information set as a cluster center terminal grading value to obtain a cluster center terminal grading value set. In practice, the cluster center terminal scoring value corresponding to each cluster center terminal attribute characteristic information in the cluster center terminal attribute characteristic information set can be determined by assigning a scoring value to each attribute index included in the cluster center terminal attribute characteristic information and summing the scoring values. The cluster center terminal scoring value can represent the performance of the chromatographic data monitoring terminal. The larger the cluster center terminal scoring value is, the better the chromatographic data monitoring terminal performance is.
And fifthly, determining a first terminal score value corresponding to each terminal attribute characteristic information in the terminal attribute characteristic information set according to the cluster center terminal score value set to obtain the first terminal score value set.
In practice, for each terminal attribute feature information group in the above terminal attribute feature information group set, the following processing steps are performed:
and a first sub-step of determining cluster center terminal attribute characteristic information corresponding to the terminal attribute characteristic information group.
And a second sub-step of determining the similarity between each terminal attribute characteristic information in the terminal attribute characteristic information group and the cluster center terminal attribute characteristic information through a Euclidean distance formula to obtain a similarity group.
And a third sub-step of multiplying the cluster center terminal scoring value corresponding to the cluster center terminal attribute characteristic information with each similarity to generate a first terminal scoring value and obtain a first terminal scoring value group.
And sixthly, acquiring a historical terminal attribute information set of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster within a preset historical time period, and obtaining a historical terminal attribute information set. The setting of the preset history period is not limited. The history terminal attribute information may refer to terminal attribute information of a certain time node within a preset history period.
And seventh, generating a second terminal grading value set based on the historical terminal attribute information set, and determining a target chromatographic data monitoring terminal according to the first terminal grading value set and the second terminal grading value set.
Firstly, the executing body may input the historical terminal attribute information set into a pre-trained chromatographic data monitoring terminal scoring prediction model, so as to obtain a chromatographic data monitoring terminal scoring value set as a second terminal scoring value set. Wherein the historical terminal attribute information set in the historical terminal attribute information set corresponds to the chromatographic data monitoring terminal predictive score value in the chromatographic data monitoring terminal predictive score value set. Here, the chromatographic data monitoring terminal scoring prediction model may refer to a neural network model which is trained in advance and takes a historical terminal attribute information group as input and takes a chromatographic data monitoring terminal scoring value as output. For example, the chromatographic data monitoring terminal scoring prediction model may refer to a pre-trained convolutional neural network model. The chromatography data monitoring terminal predictive score value may represent a predicted chromatography data monitoring terminal performance score value.
Then, according to the first terminal score value set and the second terminal score value set, the executing body may determine the target chromatographic data monitoring terminal by:
A first sub-step of executing the following processing steps for each of the first terminal score values in the first terminal score value set described above:
1. and determining a second terminal scoring value corresponding to the first terminal scoring value. The chromatographic data monitoring terminal corresponding to the first terminal grading value is the same as the chromatographic data monitoring terminal corresponding to the second terminal grading value.
2. And carrying out weighted summation processing on the first terminal scoring value and the second terminal scoring value to generate a weighted terminal scoring value.
And a second sub-step of determining the chromatographic data monitoring terminal corresponding to the largest weighted terminal scoring value in the generated weighted terminal scoring values as a target chromatographic data monitoring terminal.
And eighth step, the first marked chromatographic information set and the second marked chromatographic information set are sent to the target chromatographic data monitoring terminal.
Therefore, the optimal chromatographic data monitoring terminal can be selected through the content, and further analysis of chromatographic information can be rapidly and accurately performed.
With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides embodiments of a chromatographic data analysis device corresponding to those shown in fig. 1, which can be applied in particular in various electronic apparatuses.
As shown in fig. 2, the chromatographic data analysis device 200 of some embodiments includes: acquisition unit 201, clustering unit 202, determination unit 203, labeling unit 204, extraction unit 205, parsing unit 206, generation unit 207, and transmission unit 208. Wherein the obtaining unit 201 is configured to obtain a chromatograph-generated chromatograph information set, wherein the chromatograph information in the chromatograph information set includes a chromatograph data set, and the chromatograph data in the chromatograph data set includes a chromatograph data name and a corresponding chromatograph data value; a clustering unit 202 configured to perform clustering processing on each piece of chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set, so as to obtain a chromatographic data set, where the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same; a determining unit 203 configured to perform, for each of the above sets of chromatographic data, the following processing steps: determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set; determining an abnormal chromatographic data set according to the detection result set; a marking unit 204 configured to mark each of the above-mentioned sets of chromatographic information according to the determined respective sets of abnormal chromatographic data to generate first marked chromatographic information, resulting in a first set of marked chromatographic information; an extraction unit 205 configured to perform feature extraction processing on each of the above-described sets of chromatographic information to generate chromatographic feature information, resulting in a set of chromatographic feature information; an analysis unit 206 configured to perform analysis clustering processing on the set of chromatographic characteristic information to generate a set of chromatographic characteristic information; a generating unit 207 configured to generate a second set of labeled chromatographic information based on the set of chromatographic characteristic information set; a transmitting unit 208 configured to transmit the first set of mark chromatographic information and the second set of mark chromatographic information to a target chromatographic data monitoring terminal.
It will be appreciated that the elements described in the chromatographic data analysis device 200 correspond to the various steps in the method described with reference to figure 1. Thus, the operations, features and resulting benefits described above for the method are equally applicable to the chromatographic data analysis device 200 and the units contained therein, and are not described in detail herein.
Fig. 3 is a schematic block diagram of a structure of a computer device according to an embodiment of the disclosure. The computer device may be a terminal.
As shown in fig. 3, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program comprises program instructions which, when executed, cause the processor to perform any of a number of chromatographic data analysis methods.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in a non-volatile storage medium that, when executed by a processor, causes the processor to perform any of a number of chromatographic data analysis methods.
The network interface is used for network communication such as transmitting assigned tasks and the like. Those skilled in the art will appreciate that the structures shown in FIG. 3 are only block diagrams of portions of structures associated with the disclosed aspects and are not limiting as to the computer device on which the disclosed aspects may be implemented, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in one embodiment, the processor is configured to execute a computer program stored in the memory to implement the steps of: acquiring a chromatographic information set generated by a chromatograph, wherein the chromatographic information in the chromatographic information set comprises a chromatographic data set, and chromatographic data in the chromatographic data set comprises a chromatographic data name and a corresponding chromatographic data value; clustering each chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set to obtain a chromatographic data set, wherein the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same; for each of the above sets of chromatographic data, the following processing steps are performed: determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set; determining an abnormal chromatographic data set according to the detection result set; marking each piece of chromatographic information in the chromatographic information set according to each determined abnormal chromatographic data set to generate first marked chromatographic information, so as to obtain a first marked chromatographic information set; performing feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information, so as to obtain a chromatographic feature information set; analyzing and clustering the chromatographic characteristic information set to generate a chromatographic characteristic information set; generating a second set of labeled chromatographic information based on the set of chromatographic characteristic information sets; and transmitting the first mark chromatographic information set and the second mark chromatographic information set to a target chromatographic data monitoring terminal.
Embodiments of the present disclosure also provide a computer readable storage medium having a computer program stored thereon, where the computer program includes program instructions that, when executed, implement a method that can refer to various embodiments of the chromatographic data analysis method of the present disclosure.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may be an external storage device of the computer device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present disclosure are merely for description and do not represent advantages or disadvantages of the embodiments. While the invention has been described with reference to certain preferred embodiments, it will be apparent to one skilled in the art that various changes and substitutions can be made herein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
Claims (6)
1. A method of chromatographic data analysis comprising:
acquiring a chromatographic information set generated by a chromatograph, wherein the chromatographic information in the chromatographic information set comprises a chromatographic data set, and chromatographic data in the chromatographic data set comprises a chromatographic data name and a corresponding chromatographic data value;
clustering all the chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set to obtain a chromatographic data set, wherein the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same;
for each of the sets of chromatographic data, performing the following processing steps:
Determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval;
detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set;
determining an abnormal chromatographic data set according to the detection result set;
marking each chromatographic information in the chromatographic information set according to each determined abnormal chromatographic data set to generate first marked chromatographic information, so as to obtain a first marked chromatographic information set;
performing feature extraction processing on each piece of chromatographic information in the chromatographic information set to generate chromatographic feature information, so as to obtain a chromatographic feature information set;
analyzing and clustering the chromatographic characteristic information set to generate a chromatographic characteristic information set;
generating a second set of labeled chromatographic information based on the set of sets of chromatographic characteristic information;
transmitting the first and second sets of marker chromatography information to a target chromatography data monitoring terminal;
wherein the sending the first set of tag chromatographic information and the second set of tag chromatographic information to a target chromatographic data monitoring terminal comprises:
Acquiring terminal attribute information of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster to obtain a terminal attribute information set;
performing feature extraction processing on each terminal attribute information in the terminal attribute information set to generate terminal attribute feature information, thereby obtaining a terminal attribute feature information set;
clustering the terminal attribute characteristic information set to generate a terminal attribute characteristic information set and a cluster center terminal attribute characteristic information set, wherein the terminal attribute characteristic information set in the terminal attribute characteristic information set corresponds to the cluster center terminal attribute characteristic information in the cluster center terminal attribute characteristic information set;
determining the grading value corresponding to the attribute characteristic information of each cluster center terminal in the cluster center terminal attribute characteristic information set as a cluster center terminal grading value to obtain a cluster center terminal grading value set;
determining a first terminal score value corresponding to each terminal attribute characteristic information in the terminal attribute characteristic information set according to the cluster center terminal score value set to obtain a first terminal score value set;
acquiring a historical terminal attribute information set of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster within a preset historical time period to obtain a historical terminal attribute information set;
Generating a second terminal scoring value set based on the historical terminal attribute information set, and determining a target chromatographic data monitoring terminal according to the first terminal scoring value set and the second terminal scoring value set;
and sending the first mark chromatographic information set and the second mark chromatographic information set to the target chromatographic data monitoring terminal.
2. The method of claim 1, wherein the generating a second set of terminal scoring values based on the set of historical terminal attribute information sets comprises:
and inputting the historical terminal attribute information set into a pre-trained chromatographic data monitoring terminal scoring prediction model to obtain a chromatographic data monitoring terminal predicting scoring value set as a second terminal scoring value set, wherein the historical terminal attribute information set in the historical terminal attribute information set corresponds to the chromatographic data monitoring terminal predicting scoring value in the chromatographic data monitoring terminal predicting scoring value set.
3. The method of claim 1, wherein the determining a target chromatographic data monitoring terminal from the first set of terminal scores and the second set of terminal scores comprises:
for each first terminal score value in the first terminal score value set, performing the following processing steps:
Determining a second terminal scoring value corresponding to the first terminal scoring value;
carrying out weighted summation processing on the first terminal scoring value and the second terminal scoring value to generate a weighted terminal scoring value;
and determining the chromatographic data monitoring terminal corresponding to the largest weighted terminal scoring value in the generated weighted terminal scoring values as a target chromatographic data monitoring terminal.
4. A chromatographic data analysis device applied to the method as claimed in any one of claims 1 to 3, comprising:
an acquisition unit configured to acquire a set of chromatographic information generated by a chromatograph, wherein the chromatographic information in the set of chromatographic information includes a set of chromatographic data, the chromatographic data in the set of chromatographic data including a chromatographic data name and a corresponding chromatographic data value;
the clustering unit is configured to perform clustering processing on each chromatographic data included in the chromatographic information set according to the chromatographic data names included in the chromatographic information set to obtain a chromatographic data set, wherein the chromatographic data names corresponding to the chromatographic data sets in the chromatographic data set are the same;
a determining unit configured to perform, for each of the sets of chromatographic data, the following processing steps: determining standard chromatographic data information according to the chromatographic data name corresponding to the chromatographic data group, wherein the standard chromatographic data information comprises a chromatographic data name and a chromatographic data value interval; detecting each chromatographic data in the chromatographic data set according to the standard chromatographic data information to generate a detection result, thereby obtaining a detection result set; determining an abnormal chromatographic data set according to the detection result set;
A tagging unit configured to tag each of the chromatographic information in the set of chromatographic information according to the determined respective abnormal chromatographic data set to generate first tagged chromatographic information, resulting in a first set of tagged chromatographic information;
an extraction unit configured to perform feature extraction processing on each of the chromatographic information in the chromatographic information set to generate chromatographic feature information, resulting in a chromatographic feature information set;
the analysis unit is configured to perform analysis clustering processing on the chromatographic characteristic information set so as to generate a chromatographic characteristic information set;
a generation unit configured to generate a second set of labeled chromatographic information based on the set of chromatographic characteristic information;
a transmitting unit configured to transmit the first set of marker chromatography information and the second set of marker chromatography information to a target chromatography data monitoring terminal; a transmission unit further configured to:
acquiring terminal attribute information of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster to obtain a terminal attribute information set;
performing feature extraction processing on each terminal attribute information in the terminal attribute information set to generate terminal attribute feature information, thereby obtaining a terminal attribute feature information set;
Clustering the terminal attribute characteristic information set to generate a terminal attribute characteristic information set and a cluster center terminal attribute characteristic information set, wherein the terminal attribute characteristic information set in the terminal attribute characteristic information set corresponds to the cluster center terminal attribute characteristic information in the cluster center terminal attribute characteristic information set;
determining the grading value corresponding to the attribute characteristic information of each cluster center terminal in the cluster center terminal attribute characteristic information set as a cluster center terminal grading value to obtain a cluster center terminal grading value set;
determining a first terminal score value corresponding to each terminal attribute characteristic information in the terminal attribute characteristic information set according to the cluster center terminal score value set to obtain a first terminal score value set;
acquiring a historical terminal attribute information set of each chromatographic data monitoring terminal in the chromatographic data monitoring terminal cluster within a preset historical time period to obtain a historical terminal attribute information set;
generating a second terminal scoring value set based on the historical terminal attribute information set, and determining a target chromatographic data monitoring terminal according to the first terminal scoring value set and the second terminal scoring value set;
And sending the first mark chromatographic information set and the second mark chromatographic information set to the target chromatographic data monitoring terminal.
5. A computer device, wherein the computer device comprises a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program, when executed by the processor, implements the steps of the method according to any of claims 1-3.
6. A computer readable storage medium, wherein the computer readable storage medium has stored thereon a computer program, wherein the computer program, when executed by a processor, implements the steps of the method according to any of claims 1 to 3.
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