Storage management method for spectrograph measurement data

Abstract

The invention relates to the field of data storage management, and discloses a spectrograph measurement data storage management method, which comprises the following steps that: a data acquisition module collects the test data; after labels are set, the data are transmitted to the data classification module, the data are divided into spectral images, wavelength ranges, peak value characteristics, spectrograph data and other five types of data, then the data are transmitted to the classification confirmation module through various classification channel modules to ensure accurate classification, and the data which are wrongly classified are corrected; accurate data are transmitted to appropriate storage units in the storage module through respective classification channel modules, the data calling module is connected with various storage units in the storage module, an experimenter can call measurement data through the data calling module, and due to the adoption of a classification storage mode, the measurement accuracy is improved. Therefore, an experimenter can directly call out a certain type of data of multiple detection data for analogy analysis.

Description

Technical Field

[0001] The present invention relates to the field of data storage management, and in particular to a storage management method for spectrometer measurement data. Background Art

[0002] A spectrometer is a scientific instrument used to decompose complex light into spectral lines and measure the intensity of different wavelength ranges to analyze the composition, structure and properties of matter. The spectrometer separates the electromagnetic radiation of the radiation source into the required wavelength range or wavelength range area through a dispersive element (such as a prism or a diffraction grating) and measures the intensity in the selected wavelength range. This instrument is widely used in the detection of air pollution, water pollution, food hygiene and metal industry.

[0003] Existing spectrometers generally only store measurement data in a simple manner, and do not classify and store different types of measurement data in detail, so that testers can only view the overall measurement data when viewing it, and they need to perform secondary processing on the data before they can call out the required specific type of test data.

[0004] Therefore, it is necessary to set up a storage management method that directly classifies and stores spectrometer detection data to solve the problem that traditional spectrometer detection data storage management methods do not classify and store measurement data in detail, resulting in the need for detection personnel to perform secondary processing on the data before they can retrieve the required specific type of detection data. Summary of the invention

[0005] In view of this, the present invention proposes a storage management method for spectrometer detection data to solve the problem that the traditional spectrometer detection data storage management method does not classify and store the measurement data in detail, resulting in the need for detection personnel to perform secondary processing on the data before they can call out the required specific type of detection data.

[0006] The present invention provides a storage management method for spectrometer measurement data, comprising:

[0007] S100, the acquisition module collects the spectrometer measurement data, sets a label to distinguish each measurement data, and transmits the measurement data to the classification module;

[0008] S200, after receiving the measurement data, the data classification module classifies the measurement data, and then transmits the measurement data to various classification confirmation modules through their respective classification channel modules;

[0009] S300, the various classification confirmation modules identify the data in detail, and then transmit the data to the storage module for storage;

[0010] S400, the storage module is provided with storage units corresponding to various data types, the storage units are connected to the classification confirmation modules through the classification channel modules, and the confirmed data is stored in the storage units of the categories;

[0011] S500, a data retrieval module is connected to the various storage units in the storage module, and the data retrieval module is used to retrieve the measurement data stored in the various storage units.

[0012] Furthermore, the label in step S100 includes: a serial number, a detection start time and a detection end time, so as to distinguish each measurement data.

[0013] Furthermore, the data classification module includes:

[0014] an identification unit, used for identifying the measurement data;

[0015] The classification unit is used to classify the measurement data according to the recognition result.

[0016] The identification unit is provided with distinguishing features of various types of measurement data. After receiving the measurement data, the identification unit compares the measurement data with the distinguishing features for identification. After the identification is completed, the classification unit classifies the measurement data according to the identification result.

[0017] Furthermore, the data classification module in step S200 classifies the measurement data into five data types, namely, spectral image, wavelength range, peak feature, spectrometer data and others.

[0018] The wavelength range is the range of the measured light beam wavelength; the peak feature is the wavelength at each peak in the spectrum image, the corresponding light intensity and peak width information; the spectrometer data is the internal temperature, wavelength resolution, sensitivity and signal-to-noise ratio information of the spectrometer at each time. The others are the measurement data excluding the spectrum image, the wavelength range, the peak feature and the spectrometer data.

[0019] Furthermore, the five types of data are transmitted to the corresponding five classification confirmation modules through the corresponding five classification channel modules, and the five classification channel modules are not interconnected and can only transmit corresponding types of measurement data.

[0020] Furthermore, the classification confirmation module is preset with detailed features of this type of data. If the features meet the requirements, it is transmitted to the storage module through the classification channel module; if not, it is transmitted to other classification confirmation modules in sequence through the various data classification channel modules until it is confirmed that the data meets the features of this type.

[0021] Furthermore, the five classification confirmation modules are interconnected, so that the misclassified data can be transmitted to the remaining four classification confirmation modules in sequence to correct the misclassified data.

[0022] Furthermore, the storage module is internally provided with five storage units corresponding to the five types of data, and the five types of data are transmitted to the corresponding five storage units for storage through the five classification channel modules.

[0023] Furthermore, the data retrieval module can identify the label of the measurement data and retrieve the data according to the sequence number, the detection start time and the detection end time.

[0024] Compared with the prior art, the beneficial effect of the present invention is that by setting up a data classification module, the spectrometer measurement data is classified and processed in detail and then stored, so that the detection personnel do not need to process the measurement data twice, and can directly retrieve the required specific type of measurement data for comparative analysis, thereby better meeting the various needs of the detection personnel.

[0025] The present invention sets a label of a sequence number, a detection start time and a detection end time for each measurement data through an acquisition module to distinguish the detection data, making it convenient for detection personnel to search and retrieve according to required conditions.

[0026] The present invention ensures accurate data classification by dividing the measurement data into five data types, namely, spectral image, wavelength range, peak feature, spectrometer data and others, and setting a classification confirmation module to confirm and correct the classified data.

[0027] The present invention sets classification channels for five types of measurement data for transmission, and sets storage units in the storage module to store each type of measurement data separately, thereby ensuring that the data will not be confused during transmission and when the data is retrieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0029] Figure 1 This is a flow chart of a method for storing and managing spectrometer measurement data according to an embodiment of the present invention;

[0030] Figure 2 This is a classification flow chart of the spectrometer measurement data transmission in an embodiment of the present invention;

[0031] Figure 3 for Figure 1 Schematic diagram of the internal units in the storage module and the data classification module. DETAILED DESCRIPTION

[0032] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application.

[0033] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0034] The following description of at least one exemplary embodiment is merely illustrative in nature and is not intended to limit the present application, its application, or uses.

[0035] Technologies, systems, and devices known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, systems, and devices should be considered part of the specification.

[0036] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0037] In addition, the technical solutions between the various embodiments of the present application can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0038] It should be noted that all directional indications in the embodiments of the present application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0039] A spectrometer is a scientific instrument used to decompose complex light into spectral lines and measure the intensity of different wavelength ranges to analyze the composition, structure and properties of a substance. A spectrometer separates the electromagnetic radiation of a radiation source into a desired wavelength range or wavelength range region through a dispersive element (such as a prism or a diffraction grating), and measures the intensity over a selected wavelength range. This instrument is widely used in detection aspects such as air pollution, water pollution, food hygiene and the metal industry. Existing spectrometers generally only store measurement data in a simple manner, and do not perform detailed classification and storage of different types of measurement data, so that the test personnel can only view the overall measurement data when viewing, and need to perform secondary processing of the data before being able to call out the required specific type of detection data. Therefore, it is necessary to set up a storage management method for directly classifying and storing spectrometer detection data to solve the problem that the traditional spectrometer detection data storage management method does not perform detailed classification and storage of measurement data, resulting in the need for test personnel to perform secondary processing of the data before being able to call out the required specific type of detection data.

[0040] Reference Figure 1 As shown, in an embodiment provided in the present application, a method for storing and managing spectrometer measurement data includes:

[0041] S100, the acquisition module collects the spectrometer measurement data, sets a label to distinguish each measurement data, and transmits the measurement data to the classification module;

[0042] S200, after receiving the measurement data, the data classification module classifies the measurement data, and then transmits the measurement data to various classification confirmation modules through their respective classification channel modules;

[0043] S300, various classification confirmation modules identify the data in detail, and then transmit it to the storage module for storage;

[0044] S400, the storage module is provided with storage units corresponding to various data types, and the storage units are connected to each classification confirmation module through a classification channel module, and the confirmed data is stored in the storage unit of this type;

[0045] S500, the data retrieval module is connected to various storage units in the storage module, and the data retrieval module can retrieve the measurement data stored in the various storage units.

[0046] Specifically, the acquisition module collects the spectrometer measurement data and labels the measurement data, including the serial number, detection start time and detection end time, which not only distinguishes each detection data, but also facilitates the detection personnel to retrieve it on demand. The acquisition module is connected to the data classification module. The acquisition module transmits the collected spectrometer measurement data to the data classification module. The data classification module classifies the received measurement data. After the classification is completed, each type of measurement data enters the corresponding classification confirmation module through the corresponding classification channel module. After confirmation by the classification confirmation module, it enters the storage module through the classification channel module for storage.

[0047] It can be understood that by setting up a data classification module to classify the spectrometer measurement data in detail and then store it, the inspection personnel can directly retrieve the required specific type of measurement data for comparative analysis without having to process the measurement data twice, thereby better meeting the various needs of the inspection personnel.

[0048] See also Figure 1-3 As shown, the above-mentioned data classification module includes: an identification unit and a classification unit.

[0049] Specifically, the recognition unit is provided with distinguishing features of various types of measurement data. After receiving the measurement data, the recognition unit compares and identifies the measurement data with the distinguishing features. After the recognition is completed, the classification unit classifies the measurement data according to the recognition result.

[0050] It can be understood that the recognition unit is preset with four types of data distinguishing technical features, namely, spectral image, wavelength range, peak characteristics, and spectrometer data. After receiving the measurement data, the recognition unit compares the measurement data with the preset distinguishing features one by one, marks the measurement data that matches the comparison accordingly, and marks all measurement data that do not meet the requirements as other types and then transmits them to the classification module. The classification module recognizes the marks on the measurement data and then sends it to the corresponding classification channel module according to the marks.

[0051] Specifically, the above-mentioned spectral image is a light intensity waveform diagram at the corresponding wavelength of the measured light beam; the wavelength range is the range of the wavelength of the measured light beam; the peak feature is the wavelength at each peak in the spectral image, the corresponding light intensity and the peak width information; the spectrometer data is the internal temperature, wavelength resolution, sensitivity and signal-to-noise ratio when the spectrometer measures this light beam.

[0052] It can be understood that the spectral image is used to understand the overall characteristics of the measured light beam; the wavelength range is used to directly display the wavelength range of the measured light beam to the inspector; the peak characteristics are used to analyze the properties of the measured sample; and the spectrometer data is used to ensure the accuracy of the measured data.

[0053] See also Figure 2As shown, the spectral image, wavelength range, peak characteristics, spectrometer data and other five types of spectrometer measurement data classified by the data classification module are transmitted to the corresponding five classification confirmation modules through the corresponding five classification channel modules. The five classification channel modules are not interconnected and can only transmit corresponding types of measurement data.

[0054] It is understandable that separate classification channels are set up for spectral images, wavelength ranges, peak characteristics, spectrometer data and other five types of spectrometer measurement data, which ensures that the five types of spectrometer measurement data will not be confused during transmission, resulting in data classification errors.

[0055] See also Figure 2 As shown, the above classification confirmation modules are of five different types, including: spectral image classification confirmation module, wavelength range classification confirmation module, peak feature classification confirmation module, spectrometer data classification confirmation module and other classification confirmation modules.

[0056] Specifically, the five types of classification confirmation modules only contain detailed features of this type of measurement data, such as the spectral image classification confirmation module only contains feature information of the spectral image. When the corresponding type of spectrometer measurement data enters its corresponding classification confirmation module, this type of classification confirmation module will compare the preset feature information of the measurement data. After the comparison is consistent, this type of measurement data enters the corresponding storage unit through this type of classification channel module for storage.

[0057] See also Figure 2 As shown, the above-mentioned spectral image classification confirmation module, wavelength range classification confirmation module, peak feature classification confirmation module, spectrometer data classification confirmation module and other classification confirmation modules are interconnected.

[0058] It can be understood that when the data in such classification confirmation module does not conform to the preset characteristics, such classification confirmation module will continue to compare the adjacent classification confirmation modules to which the data is transmitted until the data conforms to the characteristics. For example, when some other types of data are classified as spectral image data by the classification module, and the spectral image classification confirmation module does not conform to the characteristics after comparison, the data will be transmitted to the adjacent wavelength range classification confirmation module to continue to compare the characteristics. If it does not conform, the data will be transmitted to the adjacent peak feature classification confirmation module to continue to compare until the data is transmitted to other classification confirmation modules for comparison and conformity. Only then will the data be transmitted to the corresponding storage unit through the corresponding classification channel module.

[0059] See also Figure 2 As shown, the storage module is internally provided with five storage units, namely, a spectral image storage unit, a wavelength range storage unit, a peak feature storage unit, a spectrometer data storage unit and other storage units.

[0060] Specifically, the spectral image storage unit, the wavelength range storage unit, the peak feature storage unit, the spectrometer data storage unit and other storage units are independent of each other, and are connected to the corresponding spectral image classification confirmation module, the wavelength range classification confirmation module, the peak feature classification confirmation module, the spectrometer data classification confirmation module and other classification confirmation modules through 5 independent classification channel units for receiving the corresponding measurement data and storing them.

[0061] It can be understood that each type of classification confirmation module transmits data to the corresponding storage unit for storage through five independent and unconnected classification channel modules, ensuring that different types of data will not be confused during the transmission process, and the use of five storage units to separately store each type of measurement data also effectively prevents the classified measurement data from being confused with each other.

[0062] See also Figure 2 As shown, the data retrieval unit data retrieval module is connected to the various storage units in the storage module.

[0063] It is understandable that the tester can directly retrieve the corresponding type of measurement data for comparison and analysis as needed.

[0064] See also Figure 2 As shown, the specific process of realizing automatic classification of spectral data in this embodiment is as follows: the data collection module collects the spectrometer measurement data and transmits it to the data classification module. The data classification module is preset with distinguishing features of spectral image, wavelength range, peak feature, spectrometer data and other five types of data, and performs preliminary classification based on the distinguishing features. After the classification is completed, the five types of spectral data are transmitted to the corresponding five classification confirmation modules through five classification transmission channels. The five classification confirmation modules are preset with detailed feature information of the class data. The classification confirmation module compares the received spectral data with the preset feature information. Only after the comparison is consistent can the spectral data enter this type of storage module through the classification transmission channel. At the same time, the five classification confirmation modules are interconnected. When the feature information does not match, this type of spectral data enters another classification confirmation module for comparison until the comparison is consistent.

[0065] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0066] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0067] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for storing and managing spectrometer measurement data, characterized in that: include: S100, the acquisition module collects the spectrometer measurement data, sets a label to distinguish each measurement data, and transmits the measurement data to the classification module; S200, after receiving the measurement data, the data classification module classifies the measurement data, and then transmits the measurement data to various classification confirmation modules through their respective classification channel modules; S300, each type of classification confirmation module identifies the data in detail, and then transmits it to the storage module for storage; S400, the storage module is provided with storage units corresponding to various data types, the storage units are connected to each of the classification confirmation modules through the classification channel module, and the confirmed data is stored in the storage units of this type; S500, a data retrieval module is connected to the various storage units in the storage module, and the data retrieval module is used to retrieve the measurement data stored in the various storage units.

2. The storage management method of spectrometer measurement data according to claim 1, characterized in that: The label in step S100 includes: a sequence number, a detection start time and a detection end time, so as to distinguish each measurement data.

3. The method for storing and managing spectrometer measurement data according to claim 1, characterized in that: The data classification module comprises: an identification unit, used for identifying the measurement data; A classification unit, used for classifying the measurement data according to the recognition result; The identification unit is provided with distinguishing features of various types of measurement data. After receiving the measurement data, the identification unit compares the measurement data with the distinguishing features for identification. After the identification is completed, the classification unit classifies the measurement data according to the identification result.

4. The storage management method for spectrometer measurement data according to claim 1, characterized in that: The data classification module in step S200 classifies the measurement data into five data types: spectral image, wavelength range, peak feature, spectrometer data, and others; The wavelength range is the range of the measured light beam wavelength; the peak feature is the wavelength at each peak in the spectral image, the corresponding light intensity and peak width information; the spectrometer data is the internal temperature, wavelength resolution, sensitivity and signal-to-noise ratio information of the spectrometer each time it works; the others are measurement data excluding the spectral image, the wavelength range, the peak feature and the spectrometer data.

5. A method for storing and managing spectrometer measurement data according to any one of claim 1, characterized in that: The 5 types of data are transmitted to the corresponding 5 classification confirmation modules through the corresponding 5 classification channel modules. The 5 classification channel modules are not interconnected and can only transmit corresponding types of measurement data.

6. The method for storing and managing spectrometer measurement data according to claim 1, characterized in that: The classification confirmation module is preset with detailed features of this type of data. If the features meet the requirements, it will be transmitted to the storage module through the classification channel module. If not, it will be transmitted to other classification confirmation modules in turn through various types of data classification channel modules until it is confirmed that the data meets the characteristics of this type.

7. The method for storing and managing spectrometer measurement data according to claim 5, characterized in that: The five classification confirmation modules are interconnected, so that the misclassified data can be transmitted to the remaining four classification confirmation modules in sequence to correct the misclassified data.

8. The method for storing and managing spectrometer measurement data according to claim 1, characterized in that: The storage module is internally provided with five storage units corresponding to the five types of data, and the five types of data are transmitted to the corresponding five storage units for storage through the five classification channel modules.

9. The method for storing and managing spectrometer measurement data according to claim 1, characterized in that: The data retrieval module can identify the label of the measurement data and retrieve the data according to the sequence number, the detection start time and the detection end time.

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