CN118072850A - Method and system for mass analysis of geochemical sample in target area - Google Patents
Method and system for mass analysis of geochemical sample in target area Download PDFInfo
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- 238000003908 quality control method Methods 0.000 claims abstract description 25
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- 238000004949 mass spectrometry Methods 0.000 claims 1
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- 238000004876 x-ray fluorescence Methods 0.000 claims 1
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Abstract
The application discloses a mass analysis method and a mass analysis system for a geochemical sample in a target area, which relate to the field of data processing and comprise a plurality of acquisition modules, wherein the acquisition modules acquire sample detection data of the geochemical sample in the target area and send the sample detection data to a server; the management module sets an association rule between the matching sample detection data and the database; the database receives sample detection data corresponding to the association rule and outputs a detection report; the writing module is connected with the data flow from the acquisition module to the server, and performs data quality control index out-of-tolerance analysis on the detection data; a source acquisition module for analyzing the corresponding sample detection data; the writing module schedules a sample data model corresponding to the acquisition module to acquire sample detection data, and analyzes sample acquisition data of other acquisition modules similar to the acquisition module; the module communication server outputs a plurality of quality analysis reports including sample detection data that causes the data quality control index to be out of tolerance. The application reduces the manual participation and saves the calculation cost.
Description
Technical Field
The application relates to the field of data processing, in particular to a target area geochemical sample quality analysis method and system.
Background
In the geochemical survey project of multiple target areas, the number of samples to be analyzed and tested is large, and the detection projects are many. The data processing and analysis quality monitoring of such a large number is a very complex task, and the data processing function of the computer is necessary to relate the good analysis quality.
At present, a manual input mode is adopted, and errors are frequently caused, and most importantly, data are written into a server, so that quality management is influenced, data analysis results are influenced, data correction is difficult, data tracing is difficult, manual processing links occupy too many, and misoperation is easy to occur;
accordingly, there is a need for a system and associated method for mass analysis of geochemical samples in a target area that addresses the risk of manual handling in the prior art.
Disclosure of Invention
The application discloses a mass analysis method and a mass analysis system for a geochemical sample in a target area, which solve the problems in the prior art.
In a first aspect, the present application provides a target area geochemical sample mass analysis system comprising: the system comprises an acquisition module, a server, a management module and a database;
The acquisition modules are used for acquiring sample detection data of geochemical samples of the target area and sending the sample detection data to the server;
The management module is used for setting association rules between the matched sample detection data and the database;
The database is used for receiving sample detection data corresponding to the association rule and outputting a detection report;
the system further comprises a writing module, wherein the writing module is used for accessing the data flow from the acquisition module to the server and performing data quality control index out-of-tolerance analysis on the detection data; the source acquisition module is used for accessing the sample detection data corresponding to the out-of-tolerance analysis data analysis;
The writing-in module is used for scheduling a sample data model corresponding to the acquisition module to acquire sample detection data, and analyzing the sample acquisition data of other acquisition modules similar to the acquisition module by adopting the sample data model;
The writing module communication server is used for outputting a plurality of quality analysis reports comprising sample detection data which cause the data quality control index to be out of tolerance.
Furthermore, the acquisition module comprises an instrument which is used for detecting the geochemical sample in the target area to be detected and is also used for detecting the sample to generate sample detection data, and the instrument is connected to the Internet and is connected to the input port of the server through the network.
Further, the instrument comprises a spectrum processing module, an X fluorescence processing module, a mass spectrum processing module, an atomic fluorescence processing module, a catalytic colorimetric processing module and a gas chromatography processing module.
Further, the plurality of collecting modules are configured to obtain sample detection data of a geochemical sample of the target area and send the sample detection data to the server, and further include:
The acquisition module opens access rights to the writing module, the writing module sends an access request to the acquisition module, and the acquisition module verifies the access request and then forwards data receiving and transmitting records to the writing module.
Further, the management module is configured to set association rules between the matching sample detection data and the database, and includes:
The management module is used for analyzing and identifying data characteristics of the sample detection data and classifying the data characteristics into a database corresponding to the data characteristics;
And setting association rules for the management module by a user, wherein the association rules comprise characteristic labels of data in a database.
Furthermore, the writing module is arranged in a host or/and a server where the acquisition module is located, the writing module periodically performs out-of-tolerance analysis on the data flow from the acquisition module to the server, the writing module processes sample detection data out-of-tolerance analysis based on data quality control indexes by using idle computing resources of the hardware where the writing module is located, and a user sets data quality control indexes of the writing module, wherein the data quality control indexes are used for reflecting the data quality of data to be analyzed.
Furthermore, the sample data model is used for performing out-of-tolerance analysis by acquiring data from a database according to data characteristics and displaying out-of-tolerance content fluctuation of the periodically acquired data.
Further, for the writing module, including sample data models with multiple types of matching data features, the writing module schedules a catalog of sample data models with multiple types of matching data features, the writing module trains sample data models in the catalog corresponding to the classes to which the out-of-tolerance sample detection data belong by using the out-of-tolerance sample detection data, records out-of-tolerance sample detection data batches, time, corresponding acquisition modules and out-of-tolerance content for the trained sample data models, and records the out-of-tolerance content into catalog details of the trained sample data models, synchronously updates the catalog of the writing module, and the writing module selects the acquisition module corresponding to the classes to send an access request:
A first type of access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
The second type of access request: and analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules which belong to the class and are not the corresponding acquisition modules in the same batch at different times, and outputting an out-of-tolerance analysis result of the second class access request.
Further, the write-in module cross-compares the out-of-tolerance analysis result of the first type access request, the out-of-tolerance analysis result of the second type access request and the out-of-tolerance analysis result of the out-of-tolerance sample detection data, screens out repeated out-of-tolerance analysis results, combines the out-of-tolerance analysis results into a final out-of-tolerance analysis result, and sends the final out-of-tolerance analysis result to the server.
Further, the writing module communication server is configured to output a plurality of quality analysis reports including sample detection data that causes the data quality control index to be out of tolerance, and specifically includes:
The writing module sends a final out-of-tolerance analysis result to the server, the server fills time, batch and corresponding acquisition module numbers of the sample detection data in the out-of-tolerance analysis result according to the out-of-tolerance analysis result of the first type access request, the out-of-tolerance analysis result of the second type access request and the out-of-tolerance analysis result of the out-of-tolerance sample detection data in the final out-of-tolerance analysis result, and based on mathematical formula analysis, the average value, precision, relative deviation and qualification rate of the corresponding acquisition module are calculated, and the server gathers a quality analysis report and a detection report to a display interface of a user.
In a second aspect, the present application provides a method for analyzing the mass of a geochemical sample in a target area, which is implemented based on any one of the systems provided in the first aspect, and includes the following steps:
The database outputs a detection report of the sample detection data:
The acquisition module acquires a geochemical sample of a target area to be detected;
The acquisition module detects sample detection data of the geochemical sample of the target area;
the acquisition module sends sample detection data to the server;
the management module is used for setting and distributing sample detection data in the server to the database according to the association rule;
the server outputs a quality analysis report:
The writing module performs out-of-tolerance analysis on the sample detection data according to the data quality control index, and schedules and trains a sample data model to detect the sample detection data in the multi-sampling module according to the out-of-tolerance sample detection data, and comprises the steps of selecting an acquisition module corresponding to the out-of-tolerance sample detection data to send an access request:
A first type of access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
the second type of access request: analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules which belong to the class and are not the corresponding acquisition modules in the same batch at different times, and outputting out-of-tolerance analysis results of the second class access request;
the writing module outputs the cross comparison and the combined final out-of-tolerance analysis result and sends the final out-of-tolerance analysis result to the server for outputting a quality analysis report.
Furthermore, the writing module in the application is abstract computing resource, can be carried on any idle computing resource, can be distributed on multiple hosts, can be arranged on a server in an array type in a centralized way, and can be realized by application programs.
According to the mass analysis method and system for the geochemical sample in the target area, the writing module is used for recording the data flow, the computing resources are integrated, and the computing cost is saved.
According to the application, through setting the association rule, the self-screening and classifying of sample detection data are realized, the manual participation is reduced, the database data can be reconfigured through modifying the association rule, the man-machine interaction is facilitated, and the data processing time is saved.
The writing module does not store data, only records data flow, solves the problem of out-of-tolerance data tracing through addressing and access, saves hardware space and reduces common memory occupation.
According to the application, batch data recursion inquiry of the comprehensive fault acquisition module is realized through sample data model dispatching and training of written data, all out-of-tolerance sample detection data are distributed, and a quality analysis report is generated.
The application meets the customization requirement of different types of ultra-bad data through the characteristic training of the sample data model, and solves the requirements without customizing software, thereby saving the investment of software.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:
FIG. 1 is a block diagram of a target area geochemical sample mass analysis system according to an exemplary embodiment of the present application.
Fig. 2 is a flow chart of a detection report in a method for analyzing the mass of a geochemical sample in a target area according to an exemplary embodiment of the application.
Fig. 3 is a flow chart of a mass analysis report in a mass analysis method for a geochemical sample of a target area according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
In the prior art, in the geochemical investigation project of multiple target areas, the number of samples to be analyzed and tested is large, and the detection projects are more. The method is characterized in that the method is a very complex work for processing and analyzing quality, a computer is utilized for trying on the data processing, but due to the improvement of quality standard change and a detection method, the computer application is required to be continuously adjusted, the functions cannot be completely covered on simple excel, access and other software, the flexibility is poor, fault data cannot be traced, the fault data can be systematic errors or edge data generated by errors of an acquisition module, the fault data cannot be applied to quality management and analysis tasks, a large number of manual input processes are complex, the total data amount is overlarge, and various manual error conditions such as multiple input and missing input are easy to occur;
The application designs decoupling middle process, and develops quality analysis report for manual analysis, wherein the technical conception of decoupling middle process is to realize one-key update of the whole system by setting association rule and data quality control index, and to continuously match different batches by setting basic sample data model capable of iterating growth, the data of different spatial characteristic distribution is obtained to the collecting module corresponding to sample detection data for detecting out-of-tolerance under corresponding data quality control index, and the sample detection data of the same batch can generate coherent influence on final detection report from the collecting module to the server, so that the technical proposal on the first and second access requests is provided by the application, the data source is screened from two angles, the computing machine is automatically combined and repeatedly recorded, and finally the quality detection analysis report is output.
The specific application scene of the application is a massive data scene of geochemical investigation detection, analysis and quality assessment of application multi-target areas.
The application provides a mass analysis method and a mass analysis system for a geochemical sample in a target area, and aims to solve the technical problems in the prior art.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example 1: the present exemplary embodiment provides a target area geochemical sample mass analysis system, as shown in fig. 1, including: the system comprises an acquisition module, a server, a management module and a database; the acquisition modules are used for acquiring sample detection data of geochemical samples of the target area and sending the sample detection data to the server; the acquisition module opens access rights to the writing module, the writing module sends an access request to the acquisition module, and the acquisition module verifies the access request and then forwards data receiving and transmitting records to the writing module. The acquisition module comprises an instrument, wherein the instrument comprises a spectrum processing module, an X fluorescence processing module, a mass spectrum processing module, an atomic fluorescence processing module, a catalytic colorimetric processing module and a gas chromatography processing module; the device is used for detecting geochemical samples in a target area to be detected, detecting the samples to generate sample detection data, connecting the instrument to the Internet, and accessing the instrument to an input port of a server through the network. The management module is used for setting association rules between the matched sample detection data and the database; the management module is used for analyzing and identifying the data characteristics of the sample detection data and classifying the data characteristics into a database corresponding to the data characteristics; the user sets association rules for the management module, wherein the association rules comprise characteristic labels of data in the database. The database is used for receiving sample detection data corresponding to the association rule and outputting a detection report; the system further comprises a writing module, wherein the writing module is used for accessing the data flow from the acquisition module to the server and performing data quality control index out-of-tolerance analysis on the detection data; the source acquisition module is used for accessing out-of-tolerance analysis data to analyze corresponding sample detection data; the writing-in module is used for scheduling a sample data model corresponding to the acquisition module to acquire sample detection data, and analyzing the sample acquisition data of other acquisition modules similar to the acquisition module by adopting the sample data model; the writing module communication server is used for outputting a plurality of quality analysis reports comprising sample detection data which cause the data quality control index to be out of tolerance. The writing module is arranged in a host or/and a server where the acquisition module is located, the writing module periodically performs out-of-tolerance analysis on data flow from the acquisition module to the server, the writing module processes sample detection data out-of-tolerance analysis based on data quality control indexes by using idle computing resources of the hardware where the writing module is located, a user sets the data quality control indexes of the writing module, and the data quality control indexes are used for reflecting data quality of data to be analyzed.
The method comprises the steps that for a writing module, the writing module comprises sample data models with multiple types of matching data characteristics, the writing module schedules catalogues of the sample data models with multiple types of matching data characteristics, the writing module trains sample data models in catalogues corresponding to the types of the out-of-tolerance sample detection data by using the out-of-tolerance sample detection data, batches, time, corresponding acquisition modules and out-of-tolerance contents of the trained sample data models are recorded and recorded in catalogue details of the trained sample data models, the catalogues of the writing module are synchronously updated, and the writing module selects the acquisition modules corresponding to the types to send access requests:
A first type of access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
The second type of access request: and analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules of the non-corresponding acquisition modules of the class under the same batch and different times, and outputting an out-of-tolerance analysis result of the second class access request.
The write-in module crosscompares the out-of-tolerance analysis result of the first type access request, the out-of-tolerance analysis result of the second type access request and the out-of-tolerance analysis result of the out-of-tolerance sample detection data, screens out repeated out-of-tolerance analysis results, merges the repeated out-of-tolerance analysis results into a final out-of-tolerance analysis result, and then sends the final out-of-tolerance analysis result to the server. The writing module communication server is used for outputting a plurality of quality analysis reports comprising sample detection data causing the data quality control index to be out of tolerance, and specifically comprises the following steps: the writing module sends a final out-of-tolerance analysis result to the server, the server fills the time, batch and corresponding acquisition module numbers of the sample detection data according to the out-of-tolerance analysis result of the first type access request, the out-of-tolerance analysis result of the second type access request and the out-of-tolerance analysis result of the out-of-tolerance sample detection data in the final out-of-tolerance analysis result, based on mathematical formula analysis and calculation of the mean value, precision, relative deviation and qualification rate of the corresponding acquisition module, the server gathers the quality analysis report and the detection report to a display interface of a user, and the method further comprises the steps of generating a plurality of required display contents such as an internal check statistical table, various icon guides and the like, editing the display contents according to a preset mathematical formula, and realizing the display contents according to user requirements, which are not repeated, and selecting a display style according to requirements, such as a histogram, a pie chart, a line graph and a discrete dot graph.
Example 2: the present exemplary embodiment provides a mass analysis method of a geochemical sample in a target area, as shown in fig. 2, including the steps of outputting a detection report of sample detection data by a database as follows:
a1, an acquisition module acquires a geochemical sample of a target area to be detected;
a2, detecting sample detection data of the geochemical sample of the target area by the acquisition module;
a3, the acquisition module sends sample detection data to the server;
and a4, setting by the management module, and distributing the sample detection data in the server to the database according to the association rule.
As shown in fig. 3, the steps of outputting a quality analysis report by the following server are included:
b1, performing out-of-tolerance analysis on sample detection data by a writing module according to a data quality control index;
b2, scheduling, training a sample data model according to the out-of-tolerance sample detection data to detect the sample detection data in the multi-sampling module, wherein the step of selecting the acquisition module corresponding to the out-of-tolerance sample detection data to send an access request comprises the steps of:
b21, first type access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
b22, second-class access request: analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules of the non-corresponding acquisition modules of the class in the same batch under different time, and outputting out-of-tolerance analysis results of the second class access request;
And b3, outputting the cross comparison and the combined final out-of-tolerance analysis result by the writing module, and sending the final out-of-tolerance analysis result to a server for outputting a quality analysis report.
The writing module in the application is abstract computing resource, can be carried on any idle computing resource, can be distributed on multiple hosts, can be arranged on a server in an array type in a centralized manner, and can be used for realizing the function of the writing module by application programs.
In the several embodiments provided by the present application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in hardware plus software functional modules.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It will be appreciated by those skilled in the art that embodiments of the invention may be provided as methods or systems. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. 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 apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A target area geochemical sample mass analysis system, comprising: the system comprises an acquisition module, a server, a management module and a database;
The acquisition modules are used for acquiring sample detection data of geochemical samples of the target area and sending the sample detection data to the server;
The management module is used for setting association rules between the matched sample detection data and the database;
The database is used for receiving sample detection data corresponding to the association rule and outputting a detection report; the management module is used for analyzing and identifying data characteristics of the sample detection data and classifying the data characteristics into a database corresponding to the data characteristics; setting an association rule for the management module by a user, wherein the association rule comprises a characteristic tag of data in a database;
the system further comprises a writing module, wherein the writing module is used for accessing the data flow from the acquisition module to the server and performing data quality control index out-of-tolerance analysis on the detection data; the source acquisition module is used for accessing the sample detection data corresponding to the out-of-tolerance analysis data analysis;
The writing-in module is used for scheduling a sample data model corresponding to the acquisition module to acquire sample detection data, and analyzing the sample acquisition data of other acquisition modules similar to the acquisition module by adopting the sample data model;
The writing module communication server is used for outputting a plurality of quality analysis reports comprising sample detection data which cause the data quality control index to be out of tolerance.
2. The mass analysis system of a geochemical sample in a target area according to claim 1, wherein the collection module comprises an instrument for detecting a geochemical sample in the target area to be detected and for detecting the sample to generate sample detection data, the instrument being connected to the internet and connected to the input port of the server via a network.
3. The target area geochemical sample mass analysis system of claim 2, wherein the instrument comprises a spectral processing module, an X-ray fluorescence processing module, a mass spectrometry processing module, an atomic fluorescence processing module, a catalytic colorimetric processing module, and a gas chromatography processing module.
4. The target area geochemical sample mass analysis system of claim 2, wherein the plurality of acquisition modules are configured to acquire sample detection data of a target area geochemical sample and send the data to a server, further comprising:
The acquisition module opens access rights to the writing module, the writing module sends an access request to the acquisition module, and the acquisition module verifies the access request and then forwards data receiving and transmitting records to the writing module.
5. The system of claim 4, wherein the writing module is configured to schedule a sample data model corresponding to the acquisition module to acquire sample test data, and analyze sample acquisition data of other acquisition modules of the same type as the acquisition module using the sample data model, comprising:
the sample data model, by retrieving data from a database in accordance with data characteristics, the method is used for performing out-of-tolerance analysis and displaying out-of-tolerance content fluctuation of the periodically acquired data.
6. The system according to claim 5, wherein the writing module is disposed in a host computer or/and a server where the collecting module is located, the writing module periodically performs out-of-tolerance analysis on a data flow from the collecting module to the server, the writing module processes sample detection data out-of-tolerance analysis based on a data quality control index by using idle computing resources of hardware where the writing module is located, and a user sets a data quality control index of the writing module, where the data quality control index is used for reflecting data quality of data to be analyzed.
7. The system of claim 6, wherein the writing module schedules a catalog of sample data models of multiple types of matching data features for the writing module, the writing module trains sample data models in the catalog corresponding to the class to which the out-of-tolerance sample detection data belongs with the out-of-tolerance sample detection data, records out-of-tolerance sample detection data batches, time, corresponding acquisition modules and out-of-tolerance content for the trained sample data models and logs into catalog details of the trained sample data models, synchronously updates the catalog of the writing module, and the writing module selects the acquisition module corresponding to the class to send access requests:
A first type of access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
The second type of access request: and analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules which belong to the class and are not the corresponding acquisition modules in the same batch at different times, and outputting an out-of-tolerance analysis result of the second class access request.
8. The system of claim 7, wherein the writing module cross-compares the result of the over-tolerance analysis of the first type of access request, the result of the over-tolerance analysis of the second type of access request, and the result of the over-tolerance analysis of the detected data of the over-tolerance sample, screens out the repeated over-tolerance analysis, and combines the repeated over-tolerance analysis into a final over-tolerance analysis, and sends the final over-tolerance analysis to the server.
9. The system of claim 8, wherein the writing module communicates with the server for outputting a plurality of quality analysis reports including sample detection data that causes the data quality control indicator to be out of tolerance, specifically comprising:
The writing module sends a final out-of-tolerance analysis result to the server, the server fills time, batch and corresponding acquisition module numbers of the sample detection data in the out-of-tolerance analysis result according to the out-of-tolerance analysis result of the first type access request, the out-of-tolerance analysis result of the second type access request and the out-of-tolerance analysis result of the out-of-tolerance sample detection data in the final out-of-tolerance analysis result, and based on mathematical formula analysis, the average value, precision, relative deviation and qualification rate of the corresponding acquisition module are calculated, and the server gathers a quality analysis report and a detection report to a display interface of a user.
10. A method for mass analysis of a geochemical sample in a target area, characterized in that it is realized based on a mass analysis system for a geochemical sample in a target area according to any one of claims 1 to 9, comprising the steps of:
The database outputs a detection report of the sample detection data:
The acquisition module acquires a geochemical sample of a target area to be detected;
The acquisition module detects sample detection data of the geochemical sample of the target area;
the acquisition module sends sample detection data to the server;
the management module is used for setting and distributing sample detection data in the server to the database according to the association rule;
the server outputs a quality analysis report:
The writing module performs out-of-tolerance analysis on the sample detection data according to the data quality control index, and schedules and trains a sample data model to detect the sample detection data in the multi-sampling module according to the out-of-tolerance sample detection data, and comprises the steps of selecting an acquisition module corresponding to the out-of-tolerance sample detection data to send an access request:
A first type of access request: analyzing the detection data of other samples of the detected out-of-tolerance sample corresponding to different batches of the acquisition module at the same time, judging whether the detected out-of-tolerance sample is out-of-tolerance, and outputting out-of-tolerance analysis results of the first type of access requests;
the second type of access request: analyzing and judging whether the out-of-tolerance sample detection data corresponds to the sample detection data of other acquisition modules which belong to the class and are not the corresponding acquisition modules in the same batch at different times, and outputting out-of-tolerance analysis results of the second class access request;
the writing module outputs the cross comparison and the combined final out-of-tolerance analysis result and sends the final out-of-tolerance analysis result to the server for outputting a quality analysis report.
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