CN111078663A

CN111078663A - High-efficient experimental data analysis system

Info

Publication number: CN111078663A
Application number: CN201911173157.3A
Authority: CN
Inventors: 蔡竞慧
Original assignee: Individual
Current assignee: Individual
Priority date: 2019-11-26
Filing date: 2019-11-26
Publication date: 2020-04-28

Abstract

The invention relates to the technical field of experimental data analysis and processing, and discloses a high-efficiency experimental data analysis system which comprises a data acquisition module and an algorithm library, wherein the output end of the data acquisition module is connected with a processing end, the output end of the algorithm library is connected with the input end of the processing end, the processing end can call an optimal algorithm path from the algorithm library, the output end of the processing end is connected with a data modeling module, the output end of the data modeling module is connected with a data analysis module, the output end of the data analysis module is connected with a data reporting module, the data acquisition module comprises automatically acquired experimental data and manually input experimental data, the automatically acquired experimental data can be directly acquired from the system, and the manually input experimental data can support manually and manually input data; the high-efficiency experimental data analysis system has the advantages of being capable of rapidly and efficiently analyzing and processing experimental data.

Description

High-efficient experimental data analysis system

Technical Field

The invention relates to the technical field of experimental data analysis and processing, in particular to a high-efficiency experimental data analysis system.

Background

A large amount of data can be recorded in various experimental processes, analysis processing needs to be carried out on the large amount of data generated in the experiment after the experiment, most of the large amount of experimental data are analyzed by a specific algorithm at present, but the processing method is large in workload, needs to consume a large amount of time and energy of workers, and is low in efficiency.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides an efficient experimental data analysis system, which has the advantages of being capable of rapidly and efficiently analyzing and processing experimental data and solves the problems that the existing experimental data analysis and processing method is large in workload, needs to consume a large amount of time and energy of workers and is low in efficiency.

In order to realize the efficient experimental data analysis system, which has the advantage of being capable of rapidly and efficiently analyzing and processing experimental data, the invention provides the following technical scheme: the utility model provides a high-efficient experiment data analysis system, includes data acquisition module and algorithm storehouse, the output of data acquisition module is connected with the processing end, the output of algorithm storehouse is connected on the input of processing end, the processing end can be followed the algorithm storehouse and called the best algorithm route, the output of processing end is connected with the data modeling module, the output of data modeling module is connected with the data analysis module, the output of data analysis module is connected with the data report module.

Preferably, the data acquisition module includes automatically acquired experimental data and manually input experimental data, the automatically acquired experimental data can be directly acquired from the system, and the manually input experimental data can support manual input of data.

Preferably, the algorithm library comprises a first algorithm, a second algorithm, a third algorithm and a fourth algorithm, the first algorithm, the second algorithm, the third algorithm and the fourth algorithm are arranged in parallel, and the first algorithm, the second algorithm, the third algorithm and the fourth algorithm are all connected with the processing end.

Preferably, the algorithm library can be added with a plurality of algorithms.

Preferably, the output end of the data reporting module is connected with a display and a printer.

Preferably, the first algorithm, the second algorithm, the third algorithm and the fourth algorithm are optimally settable.

Compared with the prior art, the invention provides an efficient experimental data analysis system, which has the following beneficial effects:

the high-efficiency experimental data analysis system comprises a data acquisition module, automatic acquisition of experimental data, manual input of the experimental data, an algorithm library, a processing end, a data modeling module, a data analysis module and a data report module, wherein after an experiment, a large amount of experimental data are sent to the processing end through the data acquisition module, the processing end analyzes and summarizes the experimental data, then corresponding algorithms are called from the algorithm library to process the experimental data, then the experimental data are modeled through the data modeling module, the modeled experimental data are analyzed and processed through the data analysis module, and finally a processing result is displayed through the data report module, so that a worker does not need to process the experimental data through a special algorithm, and the experimental data can be analyzed and processed quickly and efficiently.

Drawings

FIG. 1 is a schematic flow chart of an efficient experimental data analysis system according to the present invention;

in the figure: the system comprises a data acquisition module 1, an automatic acquisition module 101, a manual input module 102, an algorithm library 2, a first algorithm 201, a second algorithm 202, a third algorithm 203, a fourth algorithm 204, a processing terminal 3, a data modeling module 4, a data analysis module 5, a data reporting module 6, a display 7 and a printer 8.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, a high-efficiency experimental data analysis system includes a data acquisition module 1 and an algorithm library 2, an output end of the data acquisition module 1 is connected to a processing terminal 3, an output end of the algorithm library 2 is connected to an input end of the processing terminal 3, the processing terminal 3 can call an optimal algorithm path from the algorithm library 2, an output end of the processing terminal 3 is connected to a data modeling module 4, an output end of the data modeling module 4 is connected to a data analysis module 5, an output end of the data analysis module 5 is connected to a data reporting module 6, after an experiment is performed, a large amount of experimental data is sent to the processing terminal 3 through the data acquisition module 1, the processing terminal 3 analyzes and summarizes the experimental data, then calls a corresponding algorithm from the algorithm library 2 to process the experimental data, then the experimental data is modeled through the data modeling module 4, and the modeled experimental data is analyzed and processed through the data analysis module 5, and finally, the data report module displays the processing result, so that the experimental data can be quickly and efficiently analyzed and processed without the need of using a special algorithm by a worker.

The data acquisition module 1 comprises automatic acquisition experimental data 101 and manual input experimental data 102, the automatic acquisition experimental data 101 can directly acquire the experimental data from the system, and the manual input experimental data 102 can support manual and manual input of the data, so that the input modes can be different, and the application range of the system is enlarged.

The algorithm library 2 comprises a first algorithm 201, a second algorithm 202, a third algorithm 203 and a fourth algorithm 204, the first algorithm 201, the second algorithm 202, the third algorithm 203 and the fourth algorithm 204 are arranged in parallel, and the first algorithm 201, the second algorithm 202, the third algorithm 203 and the fourth algorithm 204 are all connected with the processing terminal 3, so that different types of experimental data can be processed conveniently.

The algorithm base 2 can be added with a plurality of algorithms, so that the application range of the whole system can be continuously expanded.

The output end of the data reporting module 6 is connected with a display 7 and a printer 8, so that the result after data processing can be conveniently displayed or printed.

The first algorithm 201, the second algorithm 202, the third algorithm 203 and the fourth algorithm 204 are optimally set, so that the algorithms can be improved in the later period.

In summary, after the experiment, a large amount of experimental data is sent to the processing terminal 3 through the data acquisition module 1, the processing terminal 3 analyzes and summarizes the experimental data, then a corresponding algorithm is called from the algorithm library 2 to process the experimental data, then the experimental data is modeled through the data modeling module 4, the modeled experimental data is analyzed and processed through the data analysis module 5, and finally the processing result is displayed through the data reporting module, so that a worker does not need to use a special algorithm to process the experimental data, and the experimental data can be analyzed and processed quickly and efficiently.

It is to 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. An efficient experimental data analysis system comprises a data acquisition module (1) and an algorithm library (2), and is characterized in that: the output of data acquisition module (1) is connected with processing end (3), the output of algorithm storehouse (2) is connected on the input of processing end (3), processing end (3) can be followed and is called the best algorithm route in algorithm storehouse (2), the output of processing end (3) is connected with data modeling module (4), the output of data modeling module (4) is connected with data analysis module (5), the output of data analysis module (5) is connected with data report module (6).

2. A high-efficiency laboratory data analysis system according to claim 1, wherein: the data acquisition module (1) comprises automatic acquisition experiment data (101) and manual input experiment data (102), wherein the automatic acquisition experiment data (101) can directly acquire the experiment data from a system, and the manual input experiment data (102) can support manual input of the data.

3. A high-efficiency laboratory data analysis system according to claim 1, wherein: the algorithm library (2) comprises a first algorithm (201), a second algorithm (202), a third algorithm (203) and a fourth algorithm (204), the first algorithm (201), the second algorithm (202), the third algorithm (203) and the fourth algorithm (204) are arranged in parallel, and the first algorithm (201), the second algorithm (202), the third algorithm (203) and the fourth algorithm (204) are all connected with the processing end (3).

4. A high-efficiency laboratory data analysis system according to claim 1, wherein: the algorithm library (2) can be added with a plurality of algorithms.

5. A high-efficiency laboratory data analysis system according to claim 1, wherein: the output end of the data reporting module (6) is connected with a display (7) and a printer (8).

6. A high-efficiency laboratory data analysis system according to claim 3, wherein: the first algorithm (201), the second algorithm (202), the third algorithm (203) and the fourth algorithm (204) are optimizable settings.