WO2019183882A1 - 物质检测方法、装置、电子设备及计算机可读存储介质 - Google Patents

物质检测方法、装置、电子设备及计算机可读存储介质 Download PDF

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Publication number
WO2019183882A1
WO2019183882A1 PCT/CN2018/081089 CN2018081089W WO2019183882A1 WO 2019183882 A1 WO2019183882 A1 WO 2019183882A1 CN 2018081089 W CN2018081089 W CN 2018081089W WO 2019183882 A1 WO2019183882 A1 WO 2019183882A1
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WIPO (PCT)
Prior art keywords
substance
mixture
detected
component information
attribute
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PCT/CN2018/081089
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English (en)
French (fr)
Inventor
骆磊
牟涛涛
Original Assignee
深圳达闼科技控股有限公司
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Application filed by 深圳达闼科技控股有限公司 filed Critical 深圳达闼科技控股有限公司
Priority to JP2019524249A priority Critical patent/JP2020514681A/ja
Priority to PCT/CN2018/081089 priority patent/WO2019183882A1/zh
Priority to CN201880001147.9A priority patent/CN108713136B/zh
Priority to US16/397,461 priority patent/US20190303377A1/en
Publication of WO2019183882A1 publication Critical patent/WO2019183882A1/zh

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24553—Query execution of query operations
    • G06F16/24558—Binary matching operations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N2021/8405—Application to two-phase or mixed materials, e.g. gas dissolved in liquids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/12—Circuits of general importance; Signal processing
    • G01N2201/129—Using chemometrical methods
    • G01N2201/1293—Using chemometrical methods resolving multicomponent spectra

Definitions

  • the present application relates to the field of detection technologies, and in particular, to a substance detection method, apparatus, electronic device, and computer readable storage medium.
  • the current testing equipment can generally be used to directly analyze the name of a substance or an item, such as an infrared spectrometer detecting a chemical such as potassium nitrate through an infrared transmission spectrum of a substance; for example, a Raman spectrometer detects cocaine by a Raman spectrum of scattering. Drugs and so on.
  • an infrared spectrometer detecting a chemical such as potassium nitrate through an infrared transmission spectrum of a substance
  • a Raman spectrometer detects cocaine by a Raman spectrum of scattering. Drugs and so on.
  • the existing detection methods need to input the spectral data and the substance name into the database in advance. After the detection, the matching is performed in the database according to the collected spectrum, and the substance name whose similarity exceeds the set threshold is displayed to the user as the detection. The result of the judgment.
  • acetaminophen 15 mg of dextromethorphan hydrobromide, 30 mg of pseudoephedrine hydrochloride and 2 mg of chlorpheniramine maleate may also contain adjuvants such as starch and magnesium stearate. Even if these components have been completely or partially preserved in the database, they cannot be obtained by spectral analysis because the spectrum used in the detection is necessarily the most similar to the previously recorded “New Contec” spectrum. It can be seen that only the common name of the mixture is detected at present, which may not meet the actual needs of the user.
  • One technical problem to be solved by some embodiments of the present application is to provide a substance detecting method, apparatus, electronic device, and computer readable storage medium to solve the above technical problems.
  • An embodiment of the present application provides a substance detecting method, including: determining a database to be detected The substance with the highest spectral matching of the substance, in the database, the corresponding item includes at least the detachable attribute for marking whether the substance is a mixture; if the detachable attribute in the item corresponding to the substance with the highest matching degree is determined, When the substance to be detected is a mixture, the mixture component information of the substance to be detected is obtained; and the composition information of the mixture of the substance to be detected is displayed.
  • the embodiment of the present application further provides a substance detecting device, the substance detecting device comprising: a determining module, configured to determine a substance in a database that has the highest spectral matching degree with a substance to be detected, in a corresponding entry of the substance in the database And at least comprising a detachable property for marking whether the substance is a mixture; and an obtaining module, configured to obtain the substance to be detected if the substance to be detected is a mixture according to the detachable attribute in the item corresponding to the substance with the highest matching degree Mixture component information; display module for displaying composition information of the mixture of the substance to be detected.
  • a determining module configured to determine a substance in a database that has the highest spectral matching degree with a substance to be detected, in a corresponding entry of the substance in the database And at least comprising a detachable property for marking whether the substance is a mixture
  • an obtaining module configured to obtain the substance to be detected if the substance to be detected is a mixture according to the de
  • An embodiment of the present application further provides an electronic device, including: at least one processor; and a memory communicably coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being At least one processor is operative to enable the at least one processor to perform the method of detecting matter involved in any of the method embodiments of the present application.
  • the embodiment of the present application further provides a computer readable storage medium storing computer instructions for causing a computer to execute a substance detecting method involved in any method embodiment of the present application.
  • the embodiment of the present application adds a detachable attribute to an entry corresponding to a substance stored in a database to mark whether the substance is a mixture, thereby enabling a query from the database to be detected. Whether the substance is a mixture, and further determining the mixture component information of the substance to be detected after determining that the substance to be detected is a mixture, thereby greatly improving the user experience and satisfying the actual needs of the user.
  • FIG. 1 is a flow chart of a method for detecting a substance in a first embodiment of the present application
  • FIG. 2 is a flow chart of a method for detecting a substance in a second embodiment of the present application
  • FIG. 3 is a flow chart of a method for detecting a substance in a third embodiment of the present application.
  • FIG. 4 is a block diagram showing a substance detecting device in a fourth embodiment of the present application.
  • FIG. 5 is a block diagram showing a substance detecting device in a fifth embodiment of the present application.
  • FIG. 6 is a block diagram showing a substance detecting device in a sixth embodiment of the present application.
  • FIG. 7 is a diagram showing an example of the structure of an electronic device in a seventh embodiment of the present application.
  • a first embodiment of the present application relates to a substance detecting method, and an executing body of the substance detecting method may be any electronic device capable of accessing a database, such as an optical detecting device (spectrometer, etc.) capable of accessing a database, or Is the database server itself that installs the database, or other servers that can access the database server.
  • an optical detecting device spectrometer, etc.
  • the specific process of the substance detection method is shown in Figure 1, and includes the following steps.
  • step 101 a substance in the database that has the highest degree of spectral matching with the substance to be detected is determined.
  • the substance corresponding entry in the database includes at least a detachable attribute for marking whether the substance is a mixture
  • the specific form of the detachable attribute may be a letter identifier or a digital identifier.
  • Etc. for example: If the substance is a mixture, the detachable attribute in the entry corresponding to the substance is marked with the letter Y, otherwise the detachable attribute in the entry corresponding to the substance is marked with the letter N; or, if If the substance is a mixture, the detachable attribute in the corresponding entry of the substance is marked with the number 1. Otherwise, the detachable attribute in the entry corresponding to the substance is marked with the number 2.
  • the user can set the specific expression of the detachable attribute according to actual needs, which is not specifically limited in this embodiment.
  • the substance with the highest spectral matching degree of the substance to be detected in the database there are many ways to determine the substance with the highest spectral matching degree of the substance to be detected in the database, for example, the spectrum of the substance to be detected and the spectrum of the known substance in the database can be directly input. In comparison, the known substance with the highest spectral similarity is obtained as the material with the highest spectral matching of the substance to be detected. For another example, the feature of the spectrum of the substance to be detected is extracted, and the extracted feature is matched with the characteristic of the spectrum of the known substance stored in the data to determine the known substance with the highest matching degree, and the known substance with the highest matching degree is obtained. , as the substance with the highest spectral matching of the substance to be detected. Of course, here is only an example, and other matching methods may also be used in the application. This application does not limit the specific matching manner adopted.
  • step 102 based on the detachable attribute in the entry corresponding to the substance with the highest matching degree, determining that the substance to be detected is a mixture, obtaining the mixture component information of the substance to be detected.
  • the mixture component information may be only the name of each component of the mixture, or may include both the name of each component of the mixture and the proportion of each component in the mixture.
  • the name of the component of the mixture and the proportion of the component in the mixture are further obtained, for example, the information of the composition of the mixture obtained by the new Contax is: acetaminophen 50%, hydrogen Dextromethorphan bromate 2%, pseudoephedrine hydrochloride 4%, chlorpheniramine maleate 1%, starch 35%, magnesium stearate 8% and so on.
  • step 103 mixture component information of the substance to be detected is displayed.
  • different mixture component information display manners may be provided according to different setting manners, for example, may be set to display only the names of the components of the mixture, or may be set to simultaneously display the names of the components of the mixture and the components. The proportion in the mixture.
  • Neo-Contec if it is set to display only the names of the components of the mixture, the results are acetaminophen, dextromethorphan hydrobromide, pseudoephedrine hydrochloride, chlorpheniramine maleate, Starch, magnesium stearate, etc.; if set to show both the name of each component of the mixture and the proportion of each component in the mixture, the result is 50% acetaminophen, dextromethorphan hydrobromide 2%, hydrochloric acid Pseudoephedrine 4%, chlorpheniramine maleate 1%, starch 35%, magnesium stearate 8% and so on.
  • the substance detecting method provided by the embodiment adds a detachable attribute to an item corresponding to a substance stored in a database to mark whether the substance is a mixture, thereby enabling the database to be Query whether the substance to be tested is a mixture, and after determining that the substance to be tested is a mixture Further providing the user with the composition information of the mixture of the substances to be detected, thereby greatly improving the user experience and satisfying the actual needs of the user.
  • the second embodiment of the present application relates to a substance detecting method, and the embodiment is further improved on the basis of the first embodiment, and the specific improvement is: obtaining the substance to be detected in the first embodiment
  • the manner in which the composition information of the mixture is described is specifically described.
  • the flow of the substance detecting method in this embodiment is as shown in FIG. 2 .
  • step 201 to step 206 are included, wherein step 201 is substantially the same as step 101 in the first embodiment, and step 206 is substantially the same as step 103 in the first embodiment.
  • step 201 is substantially the same as step 101 in the first embodiment
  • step 206 is substantially the same as step 103 in the first embodiment.
  • step 202 is performed.
  • step 202 the substance to be detected is determined to be a mixture based on the detachable attribute in the entry corresponding to the substance with the highest matching degree.
  • step 203 it is determined whether the component composition information of the entry corresponding to the substance with the highest matching degree is stored in the component information, and if so, step 204 is performed; otherwise, step 205 is performed.
  • the item further includes a component attribute for storing the composition information of the mixture.
  • the component attribute of the item corresponding to the substance with the highest matching degree in the database may be further queried, and the query is judged by query. Whether or not the mixture component information is stored in the component attribute of the entry corresponding to the substance with the highest matching degree.
  • the substance to be detected is a mixture
  • the data stored in the attribute of the learned component is empty, or is a mark (for example, “NA”) for the information of the unsaved mixture component, it is determined that the mixture component is not preserved. Information; otherwise, the component properties are stored in the component properties.
  • the entry further includes: a substance identity used to mark the serial number of the substance in the database
  • the entries stored in the database include the seven attributes listed above as an example, and they are examples. They are: identification (ID) attribute, substance name attribute, material spectral attribute, characteristic attribute, risk attribute, detachable attribute, and component attribute.
  • ID identification
  • Table 1 the specific storage form of an entry in the database is shown in Table 1.
  • step 204 the mixture component information held in the component attribute is used as the mixture component information of the substance to be detected.
  • step 205 among the items other than the items corresponding to the substance with the highest matching degree in the database, the mixture component information of the substance to be detected is determined according to the substance name and the percentage of the substance with the highest matching degree of the spectrum.
  • the strip corresponding to the substance with the highest matching degree is judged.
  • the spectrum of the substance to be detected needs to be re-matched with the spectrum of the known substance in the database, and the mixture component information of the substance to be detected is indirectly obtained.
  • the substance with the highest degree of matching in the database is New Contec, but the new Contec does not save the component information in the component attribute of the corresponding item of the database, and the substance other than the new Contax in the database.
  • the highest matching terms may be: Acetaminophen 50%, Dextromethorphan Hydrobromide 2%, Pseudoephedrine Hydrochloride 4%, Chlorphenamine Maleate 1%, Starch 35%, Stearic Acid Magnesium 8% and so on.
  • the most well-matched items include the names of the ingredients that make up the new Contax and the percentage of each ingredient in the new Contax.
  • the item with the highest matching degree is determined as the composition information of the new Contax mixture.
  • the manner of re-matching the spectrum of the substance to be detected with the spectrum of the known substance in the database may be any one of the existing matching methods, or may be an improvement on the existing matching method. Methods, etc., are not the focus of this application on how to match.
  • the substance detecting method adds a detachable attribute to an item corresponding to a substance stored in a database to mark whether the substance is a mixture, thereby enabling the database to be Query whether the substance to be detected is a mixture, and further provide the user with the mixture component information of the substance to be detected after determining that the substance to be detected is a mixture, thereby greatly improving the user experience and satisfying the actual needs of the user.
  • the component attribute is added to the entry corresponding to the substance of the database, and the information of the mixture component that has been analyzed is stored in the corresponding component attribute, so that the mixture component information can be directly obtained from the component attribute, and the acquisition efficiency of the mixture component information is improved.
  • the third embodiment of the present application relates to a substance detecting method, and the embodiment is further improved on the basis of the second embodiment, and the specific improvement is: the highest matching is determined in determining the first match. If the mixture component information is not saved in the entry of the substance, a second match is performed, that is, matching with the entry other than the first matching match in the database, and the detection result is determined according to the matching result. The composition information of the mixture of the substance, and the information of the mixture component determined by the second matching is saved to the component attribute of the item with the highest matching degree that is matched for the first time, and the specific process is shown in FIG. 3 .
  • the method includes a step 301 to a step 308, where the step 302 to the step 304 are substantially the same as the step 201 to the step 203 in the second embodiment, and the step 305 is the same as the second embodiment.
  • Step 204 is substantially the same
  • step 308 is substantially the same as step 206 in the second embodiment
  • step 306 is substantially the same, and are not described herein again.
  • the following mainly introduces the differences.
  • step 301 detecting a spectrum of the substance to be detected is obtained.
  • the spectrum of the substance to be detected can be collected by a spectrometer to obtain a spectrum of the substance to be detected.
  • Step 302 to step 303 are performed after step 301.
  • step 304 it is determined whether the component composition information of the entry corresponding to the substance with the highest matching degree is stored in the component information, and if yes, step 305 is performed; otherwise, step 306 is performed.
  • step 305 the mixture component information held in the component attribute is used as the mixture component information of the substance to be detected.
  • step 306 among the items other than the items corresponding to the substance with the highest matching degree in the database, the mixture component information of the substance to be detected is determined according to the substance name and the percentage of the substance having the highest matching degree of the spectrum.
  • step 307 the determined mixture component information is saved to the component attribute of the entry corresponding to the substance with the highest matching degree.
  • the information of the mixture component obtained by the detection is saved to the component attribute of the item corresponding to the substance, and the information of the mixture component stored in the attribute of the component can be directly obtained next time, so that it is not necessary to perform component detection every time, thereby avoiding The problem of low efficiency caused by component detection is performed every time.
  • a fourth embodiment of the present application relates to a substance detecting device, and the specific structure is as shown in FIG.
  • the substance detecting device includes a determining module 401, an obtaining module 402, and a display module 403.
  • the determining module 401 is configured to determine a substance in the database that has the highest degree of spectral matching with the substance to be detected, and the corresponding item in the substance in the database includes at least a detachable attribute for marking whether the substance is a mixture.
  • the obtaining module 402 is configured to obtain the mixture component information of the substance to be detected if the substance to be detected is a mixture according to the detachable attribute in the item corresponding to the substance with the highest matching degree.
  • the display module 403 is configured to display mixture component information of the substance to be detected.
  • the present embodiment is an apparatus embodiment corresponding to the first embodiment, and the embodiment can be It is implemented in cooperation with the first embodiment.
  • the related technical details mentioned in the first embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the first embodiment.
  • a fifth embodiment of the present application relates to a substance detecting device, which is substantially the same in the fourth embodiment, and the specific structure is as shown in FIG. Among them, the main improvement is:
  • the fifth embodiment specifically describes the structure of the acquisition module 402 in the fourth embodiment.
  • the obtaining module 402 specifically includes: a mixture determining submodule 4011, a determining submodule 4022, a first obtaining submodule 4023, and a second obtaining submodule
  • the mixture determining sub-module 4021 is configured to determine that the substance to be detected is a mixture according to the detachable attribute in the item corresponding to the substance with the highest matching degree.
  • the determining sub-module 4022 is configured to determine whether the mixture component information is saved in the component attribute of the entry corresponding to the substance with the highest matching degree.
  • the first obtaining sub-module 4023 is configured to: when the component information of the item corresponding to the substance with the highest matching degree is obtained by the determining sub-module 4022, the mixture component information stored in the component attribute is used as Information on the composition of the mixture of substances to be tested.
  • the second obtaining sub-module 4024 is configured to: when the component information of the item corresponding to the substance with the highest matching degree is obtained by the determining sub-module 4022, the component information with the highest matching is excluded from the database. In the items other than the corresponding items, the mixture component information of the substance to be detected is determined according to the substance name and the percentage of the substance with the highest degree of matching with the spectrum.
  • the present embodiment is an apparatus embodiment corresponding to the second embodiment, and the present embodiment can be implemented in cooperation with the second embodiment.
  • the related art details mentioned in the second embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the second embodiment.
  • a sixth embodiment of the present application relates to a substance detecting device, which is substantially the same in the fifth embodiment, and the specific structure is as shown in FIG. 6.
  • the main improvement is that the sixth embodiment adds the spectrum acquisition module 400 to the fifth embodiment, and in addition, the save submodule 4025 is newly added to the acquisition module 402 in the fifth embodiment.
  • the spectrum acquisition module 400 is configured to detect a spectrum of the substance to be detected.
  • the save sub-module 4025 is configured to save the determined mixture component information to the component attributes of the most matching substance attribute.
  • the present embodiment is an apparatus embodiment corresponding to the third embodiment, and the present embodiment can be implemented in cooperation with the third embodiment.
  • the related art details mentioned in the third embodiment are still effective in the present embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the present embodiment can also be applied to the third embodiment.
  • a seventh embodiment of the present application relates to an electronic device, and the specific structure is as shown in FIG. 7. Included in at least one processor 501; and a memory 502 communicatively coupled to at least one processor 501, wherein the memory 502 stores instructions executable by the at least one processor 501, the instructions being executed by the at least one processor 501 to cause at least one
  • the processor 501 is capable of executing a substance detecting method.
  • the processor 501 is a central processing unit (CPU), and the memory 502 is a random access memory (RAM).
  • the processor 501 and the memory 502 can be connected by a bus or other means, and the bus connection is taken as an example in FIG.
  • the memory 502 is a non-volatile computer readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program for implementing the environment information determining method in the embodiment of the present application. It is stored in the memory 502.
  • the processor 501 performs various functional applications and data processing of the device by executing non-volatile software programs, instructions, and modules stored in the memory 502, i.e., implements the above-described substance detecting method.
  • the memory 502 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function; the storage data area may store a list of options, and the like. Further, the memory may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other nonvolatile solid state storage device. In some embodiments, memory 502 can optionally include memory remotely located relative to processor 501, which can be connected to an external device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof. [0075] One or more program modules are stored in the memory 502, and when executed by the one or more processors 501, perform the substance detection method in any of the above method embodiments.
  • An eighth embodiment of the present application is directed to a computer readable storage medium having stored therein computer instructions that enable a computer to perform a substance detection method involved in any of the method embodiments of the present application .
  • a program instructing related hardware may be completed by a program instructing related hardware, and the program is stored in a storage medium, and includes a plurality of instructions for making a device. (may be a microcontroller, chip, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes: a USB flash drive, a removable hard disk, a read-only memory (ROM), a random access memory (RAM, Ra ndom Access Memory), a magnetic disk, or an optical disk, and the like, which can store program codes. medium.

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Abstract

本申请涉及检测技术领域，公开了一种物质检测方法、装置、电子设备及计算机可读存储介质。本申请中：确定数据库中与待检测物质的光谱匹配度最高的物质，在数据库中该物质对应条目中至少包括用于标记物质是否为混合物的可拆分属性；若根据匹配度最高的物质对应的条目中的可拆分属性，确定待检测物质为混合物，则获取待检测物质的混合物成分信息；显示待检测物质的混合物成分信息。通过在数据库中保存物质对应的条目中增加可拆分属性，以标记该物质是否为混合物，使得能够从数据库中查询到待检测物质是否为混合物，并在确定待检测物质为混合物后进一步为用户提供待检测物质的混合物成分信息，从而大大提升了用户体验，满足了用户实际需求。

Description

物质捡测方法、 装置、 电子设备及计算机可读存储介质 技术领域
[0001] 本申请涉及检测技术领域， 特别涉及一种物质检测方法、 装置、 电子设备及计 算机可读存储介质。
背景技术
[0002] 目前的检测设备一般可用于直接分析出物质或物品的名称， 如红外光谱仪通过 物质的红外透射光谱检测出硝酸钾等化学品； 如拉曼光谱仪通过散射的拉曼光 谱检测出可卡因等毒品等等。 而现有的检测方法都需要预先将光谱数据和物质 名称录入数据库， 之后检测时， 根据收集的光谱在数据库中进行匹配， 将相似 度超过设定阈值的物质名称显示给用户， 作为此次检测的判定结果。
发明概述
技术问题
[0003] 发明人在实现本申请的过程中发现， 对于用一种名称命名的混合物， 用户却无 法通过光谱检测得到该物质的具体成分组成。 如感冒药新康泰克， 一般录入时 就会直接扫描药片， 并将对应光谱直接命名为新康泰克。 而实际上， 每片新康 泰克的组成为：
对乙酰氨基酚 500毫克、 氢溴酸右美沙芬 15毫克、 盐酸伪麻黄碱 30毫克和马来酸 氯苯那敏 2毫克， 可能还含有淀粉、 硬脂酸镁等辅料。 即使数据库中已经完全或 部分保存这些组成成分， 也无法通过光谱分析得到， 因为检测时所使用的光谱 必然和之前录入的“新康泰克”光谱相似度最高。 可见， 目前仅检测出混合物通俗 名的方式， 可能无法满足用户的实际需求。
问题的解决方案
技术解决方案
[0004] 本申请部分实施例所要解决的一个技术问题在于提供一种物质检测方法、 装置 、 电子设备及计算机可读存储介质， 以解决上述技术问题。
[0005] 本申请的一个实施例提供了一种物质检测方法， 包括： 确定数据库中与待检测 物质的光谱匹配度最高的物质， 在数据库中该物质对应条目中至少包括用于标 记物质是否为混合物的可拆分属性； 若根据匹配度最高的物质对应的条目中的 可拆分属性， 确定待检测物质为混合物， 则获取待检测物质的混合物成分信息 ； 显示待检测物质的混合物成分信息。
[0006] 本申请实施例还提供了一种物质检测装置， 该物质检测装置包括： 确定模块， 用于确定数据库中与待检测物质的光谱匹配度最高的物质， 在数据库中该物质 对应条目中至少包括用于标记物质是否为混合物的可拆分属性； 获取模块， 用 于若根据匹配度最高的物质对应的条目中的可拆分属性， 确定待检测物质为混 合物， 则获取待检测物质的混合物成分信息； 显示模块， 用于显示待检测物质 的混合物成分信息。
[0007] 本申请实施例还提供了一种电子设备， 包括： 至少一个处理器； 以及与至少一 个处理器通信连接的存储器； 其中， 存储器存储有可被至少一个处理器执行的 指令， 指令被至少一个处理器执行， 以使至少一个处理器能够执行本申请任意 方法实施例中涉及的物质检测方法。
[0008] 本申请实施例还提供了一种计算机可读存储介质， 存储有计算机指令， 计算机 指令用于使计算机执行本申请任意方法实施例中涉及的物质检测方法。
发明的有益效果
有益效果
[0009] 本申请实施例相对于现有技术而言， 通过在数据库中保存的物质对应的条目中 增加可拆分属性， 以标记该物质是否为混合物， 从而使得能够从数据库中查询 到待检测物质是否为混合物， 并在确定待检测物质为混合物后进一步为用户提 供待检测物质的混合物成分信息， 从而大大提升了用户体验， 满足了用户的实 际需求。
对附图的简要说明
附图说明
[0010] 一个或多个实施例通过与之对应的附图中的图片进行示例性说明， 这些示例性 说明并不构成对实施例的限定， 附图中具有相同参考数字标号的元件表示为类 似的元件， 除非有特别申明， 附图中的图不构成比例限制。 [0011] 图 1是本申请第一实施例中物质检测方法的流程图；
[0012] 图 2是本申请第二实施例中物质检测方法的流程图；
[0013] 图 3是本申请第三实施例中物质检测方法的流程图；
[0014] 图 4是本申请第四实施例中物质检测装置的方框示意图；
[0015] 图 5是本申请第五实施例中物质检测装置的方框示意图；
[0016] 图 6是本申请第六实施例中物质检测装置的方框示意图；
[0017] 图 7是本申请第七实施例中电子设备的结构实例图。
发明实施例
本发明的实施方式
[0018] 为了使本申请的目的、 技术方案及优点更加清楚明白， 以下结合附图及实施例 ， 对本申请部分实施例进行进一步详细说明。 应当理解， 此处所描述的具体实 施例仅仅用以解释本申请， 并不用于限定本申请。
[0019] 本申请的第一实施例涉及一种物质检测方法， 该物质检测方法的执行主体可以 是任意一种能够访问数据库的电子设备， 如能够访问数据库的光学检测设备 （ 光谱仪等） ， 或者是安装数据库的数据库服务器本身， 或者是能够访问数据库 服务器的其它服务器等。 该物质检测方法的具体流程如图 1所示， 包括以下步骤
[0020] 在步骤 101中， 确定数据库中与待检测物质的光谱匹配度最高的物质。
[0021] 具体的说， 在本实施例中， 在数据库中该物质对应条目中至少包括用于标记物 质是否为混合物的可拆分属性， 可拆分属性的具体形式可以是字母标识、 数字 标识等， 例如： 若该物质为混合物， 则该物质对应的条目中的可拆分属性使用 字母 Y进行标记， 否则， 该物质对应的条目中的可拆分属性使用字母 N进行标记 ; 或者， 若该物质为混合物， 则该物质对应的条目中的可拆分属性用数字 1进行 标记， 否则， 该物质对应的条目中的可拆分属性使用数字 2进行标记。 用户可以 根据实际需要对可拆分属性的具体表现形式进行设定， 本实施例中对此并不做 具体限定。
[0022] 具体实现中， 确定数据库中与待检测物质的光谱匹配度最高的物质的实现方式 有很多种， 例如， 可以直接将待检测物质的光谱与数据库中已知物质的光谱进 行对比， 获取光谱相似度最高的已知物质， 作为待检测物质的光谱匹配度最高 的物质。 又例如， 提取待检测物质的光谱的特征， 将提取的特征与数据中保存 的已知物质的光谱的特征进行匹配， 确定匹配度最高的已知物质， 并获取该匹 配度最高的已知物质， 作为待检测物质的光谱匹配度最高的物质。 当然， 此处 仅为举例， 应用中也可以采用其它匹配方式， 本申请不对采用的具体匹配方式 进行限制。
[0023] 在步骤 102中， 根据匹配度最高的物质对应的条目中的可拆分属性， 确定待检 测物质为混合物， 则获取待检测物质的混合物成分信息。
[0024] 具体的说， 混合物成分信息可以仅是混合物各成分的名称， 也可以同时包括混 合物各成分的名称和各成分在混合物中所占的比例。
[0025] 以待检测物质为新康泰克为例， 当在确定出数据库中与新康泰克的光谱匹配度 最高的物质后， 根据匹配度最高的物质对应的条目中的可拆分属性的字母标记 Y ， 可以确定出待检测物质新康泰克为混合物。 在确定出待检测物质为混合物后 ， 进一步获得混合物新康泰克的成分的名称以及成分在混合物中所占的比例， 如获取的新康泰克的混合物成分信息为： 对乙酰氨基酚 50%、 氢溴酸右美沙芬 2 %、 盐酸伪麻黄碱 4%， 马来酸氯苯那敏 1%， 淀粉 35%， 硬脂酸镁 8%等等。
[0026] 在步骤 103中， 显示待检测物质的混合物成分信息。
[0027] 具体的说， 根据设置方式的不同可以有不同的混合物成分信息显示方式， 例如 ， 可以设置为仅显示混合物各成分的名称， 或者， 设置为同时显示混合物各成 分的名称和各成分在混合物中的占比。
[0028] 例如， 以新康泰克为例， 若设置为仅显示混合物各成分的名称， 则显示结果为 对乙酰氨基酚， 氢溴酸右美沙芬， 盐酸伪麻黄碱， 马来酸氯苯那敏， 淀粉， 硬 脂酸镁等等； 若设置为同时显示混合物各成分的名称和各成分在混合物中的占 比， 则显示结果为对乙酰氨基酚 50%、 氢溴酸右美沙芬 2%、 盐酸伪麻黄碱 4%， 马来酸氯苯那敏 1%， 淀粉 35%， 硬脂酸镁 8%等等。
[0029] 与现有技术相比， 本实施方式提供的物质检测方法， 通过在数据库中保存的物 质对应的条目中增加可拆分属性， 以标记该物质是否为混合物， 从而使得能够 从数据库中查询到待检测物质是否为混合物， 并在确定待检测物质为混合物后 进一步为用户提供待检测物质的混合物成分信息， 从而大大提升了用户体验， 满足了用户的实际需求。
[0030] 本申请的第二实施例涉及一种物质检测方法， 本实施例在第一实施例的基础上 做了进一步改进， 具体改进之处为： 对第一实施例中获取待检测物质的混合物 成分信息的方式进行了具体描述。 本实施例中的物质检测方法的流程如图 2所示
[0031] 具体的说， 在本实施例中， 包括步骤 201至步骤 206， 其中步骤 201与第一实施 方式中的步骤 101大致相同， 步骤 206与第一实施方式中的步骤 103大致相同， 此 处不再赘述， 下面主要介绍不同之处， 未在本实施方式中详尽描述的技术细节 ， 可参见第一实施例所提供的物质检测方法， 此处不再赘述。
[0032] 在步骤 201之后， 执行步骤 202。
[0033] 在步骤 202中， 根据匹配度最高的物质对应的条目中的可拆分属性， 确定待检 测物质为混合物。
[0034] 在步骤 203中， 判断匹配度最高的物质对应的条目的成分属性中是否保存有混 合物成分信息， 若是， 则执行步骤 204, 否则执行步骤 205。
[0035] 具体的说， 条目中还包括用于保存混合物成分信息的成分属性， 当确定待检测 物质为混合物后， 可以进一步查询数据库中匹配度最高的物质对应的条目的成 分属性， 通过查询判断匹配度最高的物质对应的条目的成分属性中是否保存有 混合物成分信息。
[0036] 例如， 在确定待检测物质为混合物后， 若查询获知成分属性中保存的数据为空 ， 或者为用于未保存混合物成分信息的标记 (如“NA”) ， 则确定未保存混合物 成分信息； 否则， 确定成分属性中保存有混合物成分信息。
[0037] 具体实现中， 条目中还包括： 用于标记物质在数据库中的编码序号的物质身份
(identification, ID) 属性、 用于标记物质种类名称的物质名称属性、 用于标记 物质光谱数据信息的物质光谱属性、 用于标记物质物理和功能特征信息的特征 属性、 用于标记物质危险等级信息的危险性属性等中的一种或多种。 在实际应 用中， 用户可以根据查询的需要， 自行设置数据库中保存的条目包含的具体类 另 IJ 本实施方式中以数据库中保存的条目包含以上列举的七种属性为例， 它们 分别是： 物质身份 （identification， ID） 属性、 物质名称属性、 物质光谱属性、 特征属性、 危险性属性、 可拆分属性和成分属性。 例如， 条目在数据库中的具 体保存形式如表 1所示。
[0038] 表 1条目
[] [表 1]
Figure imgf000008_0001
[0039] 在步骤 204中， 将成分属性中保存的混合物成分信息作为待检测物质的混合物 成分信息。
[0040] 在步骤 205中， 从数据库中除匹配度最高的物质对应的条目之外的条目中， 按 照与光谱的匹配度最高项的物质名称和百分比， 确定待检测物质的混合物成分 信息。
[0041] 需要说明的是， 根据数据库的查询结果， 判断得出匹配度最高的物质对应的条 目的成分属性中未保存有混合物成分信息时， 需要将待检测物质的光谱与数据 库中已知物质的光谱重新进行匹配， 间接获取待检测物质的混合物成分信息。
[0042] 例如， 通过匹配确定与数据库中匹配度最高的物质为新康泰克， 但新康泰克在 数据库对应条目的成分属性中未保存其成分信息， 则与数据库中除新康泰克之 外的物质进行匹配， 获得的匹配度最高的项可能为： 乙酰氨基酚 50%、 氢溴酸右 美沙芬 2%、 盐酸伪麻黄碱 4%， 马来酸氯苯那敏 1%， 淀粉 35%， 硬脂酸镁 8%等 等。 匹配度最高的项中包括构成新康泰克的成分的名称和每一种成分在新康泰 克中所占的百分比。 将获得的匹配度最高的项确定为新康泰克的混合物成分信 息。
[0043] 需要说明的是， 将待检测物质的光谱与数据库中已知物质的光谱重新匹配的方 式可以是现有的匹配方法中的任意一种， 也可以是对现有的匹配方法的改进方 法等， 对于如何匹配并不是本申请所关注的重点。
[0044] 与现有技术相比， 本实施方式提供的物质检测方法， 通过在数据库中保存的物 质对应的条目中增加可拆分属性， 以标记该物质是否为混合物， 从而使得能够 从数据库中查询到待检测物质是否为混合物， 并在确定待检测物质为混合物后 进一步为用户提供待检测物质的混合物成分信息， 从而大大提升了用户体验， 满足了用户的实际需求。 并且在数据库的物质对应的条目中增加成分属性， 将 已经分析得到的混合物成分信息保存在相对应的成分属性中， 从而能够直接从 成分属性中获取混合物成分信息， 提高了混合物成分信息的获取效率。
[0045] 本申请的第三实施方式涉及一种物质检测方法， 本实施例在第二实施例的基础 上做了进一步改进， 具体改进之处为： 在确定第一次匹配到的匹配度最高的物 质的条目中未保存混合物成分信息的情况下， 则进行第二次匹配， 即与数据库 中除第一次匹配到的匹配度最高的条目之外的条目进行匹配， 根据匹配结果确 定待检测物质的混合物成分信息， 并将第二次匹配确定的混合物成分信息保存 至第一次匹配到的匹配度最高的条目的成分属性中， 具体流程如图 3所示。
[0046] 具体的说， 在本实施例中， 包括步骤 301至步骤 308， 其中步骤 302至步骤 304与 第二实施方式中的步骤 201至步骤 203大致相同， 步骤 305与第二实施方式中的步 骤 204大致相同， 步骤 308与第二实施方式中的步骤 206大致相同， 步骤 306与第 二实施方式中的步骤 205大致相同， 此处不再赘述， 下面主要介绍不同之处， 未 在本实施方式中详尽描述的技术细节， 可参见第一实施例所提供的物质检测方 法， 此处不再赘述。
[0047] 在步骤 301中， 检测获得待检测物质的光谱。
[0048] 在实际应用中可以通过光谱仪对待检测物质的光谱进行采集， 从而获得待检测 物质的光谱。
[0049] 在步骤 301之后执行步骤 302至步骤 303。
[0050] 在步骤 304中， 判断匹配度最高的物质对应的条目的成分属性中是否保存有混 合物成分信息， 若是， 则执行步骤 305 , 否则执行步骤 306。
[0051] 在步骤 305中， 将成分属性中保存的混合物成分信息作为待检测物质的混合物 成分信息。
[0052] 在步骤 306中， 从数据库中除匹配度最高的物质对应的条目之外的条目中， 按 照与光谱的匹配度最高项的物质名称和百分比， 确定待检测物质的混合物成分 信息。
[0053] 在步骤 307中， 将确定的混合物成分信息保存至匹配度最高的物质对应的条目 的成分属性中。
[0054] 具体的说， 将检测获得的混合物成分信息保存至物质对应的条目的成分属性中 ， 下一次可直接获取成分属性中保存的混合物成分信息， 从而无需每次都进行 成分检测， 避免了每次都进行成分检测导致的效率低的问题。
[0055] 本申请的第四实施方式涉及一种物质检测装置， 具体结构如图 4所示。
[0056] 如图 4所示， 物质检测装置包括确定模块 401、 获取模块 402和显示模块 403。
[0057] 其中， 确定模块 401， 用于确定数据库中与待检测物质的光谱匹配度最高的物 质， 在数据库中该物质对应条目中至少包括用于标记物质是否为混合物的可拆 分属性。
[0058] 获取模块 402， 用于若根据匹配度最高的物质对应的条目中的可拆分属性， 确 定待检测物质为混合物， 则获取待检测物质的混合物成分信息。
[0059] 显示模块 403， 用于显示待检测物质的混合物成分信息。
[0060] 不难发现， 本实施方式为与第一实施方式相对应的装置实施例， 本实施方式可 与第一实施方式互相配合实施。 第一实施方式中提到的相关技术细节在本实施 方式中依然有效， 为了减少重复， 这里不再赘述。 相应地， 本实施方式中提到 的相关技术细节也可应用在第一实施方式中。
[0061] 本申请的第五实施例涉及一种物质检测装置， 该实施方式在第四实施方式大致 相同， 具体结构如图 5所示。 其中， 主要改进之处在于： 第五实施方式对第四实 施方式中的获取模块 402的结构进行了具体描述。 获取模块 402具体包括： 混合 物确定子模块 4021、 判断子模块 4022、 第一获取子模块 4023和第二获取子模块
[0062] 其中， 混合物确定子模块 4021， 用于根据匹配度最高的物质对应的条目中的可 拆分属性， 确定待检测物质为混合物。
[0063] 判断子模块 4022， 用于判断匹配度最高的物质对应的条目的成分属性中是否保 存有混合物成分信息。
[0064] 第一获取子模块 4023 , 用于当通过判断子模块 4022得出匹配度最高的物质对应 的条目的成分属性中保存有混合物的成分信息时， 将成分属性中保存的混合物 成分信息作为待检测物质的混合物成分信息。
[0065] 第二获取子模块 4024， 用于当通过判断子模块 4022得出匹配度最高的物质对应 的条目的成分属性中未保存有混合物的成分信息时， 从数据库中除匹配度最高 的物质对应的条目之外的条目中， 按照与光谱的匹配度最高项的物质名称和百 分比， 确定待检测物质的混合物成分信息。
[0066] 不难发现， 本实施方式为与第二实施方式相对应的装置实施例， 本实施方式可 与第二实施方式互相配合实施。 第二实施方式中提到的相关技术细节在本实施 方式中依然有效， 为了减少重复， 这里不再赘述。 相应地， 本实施方式中提到 的相关技术细节也可应用在第二实施方式中。
[0067] 本申请的第六实施例涉及一种物质检测装置， 该实施方式在第五实施方式大致 相同， 具体结构如图 6所示。 其中， 主要改进之处在于： 第六实施例在第五实施 例的基础上增加了光谱获取模块 400, 另外， 在第五实施例中的获取模块 402中 新增加了保存子模块 4025。
[0068] 其中， 光谱获取模块 400， 用于检测获得待检测物质的光谱。 [0069] 保存子模块 4025 用于将确定的混合物成分信息保存至匹配度最高的物质属性 的成分属性中。
[0070] 不难发现， 本实施方式为与第三实施方式相对应的装置实施例， 本实施方式可 与第三实施方式互相配合实施。 第三实施方式中提到的相关技术细节在本实施 方式中依然有效， 为了减少重复， 这里不再赘述。 相应地， 本实施方式中提到 的相关技术细节也可应用在第三实施方式中。
[0071] 以上所描述的装置实施例仅仅是示意性的， 并不对本申请的保护范围构成限定
， 在实际应用中， 本领域的技术人员可以根据实际的需要选择其中的部分或者 全部模块来实现本实施例方案的目的， 此处不做限制。
[0072] 本申请的第七实施例涉及一种电子设备， 具体结构如图 7所示。 包括至少一个 处理器 501 ; 以及， 与至少一个处理器 501通信连接的存储器 502 其中， 存储器 502存储有可被至少一个处理器 501执行的指令， 指令被至少一个处理器 501执行 ， 以使至少一个处理器 501能够执行物质检测方法。
[0073] 本实施例中， 处理器 501以中央处理器 (Central Processing Unit, CPU) 为例， 存储器 502以可读写存储器 (Random Access Memory , RAM) 为例。 处理器 501 、 存储器 502可以通过总线或者其他方式连接， 图 7中以通过总线连接为例。 存 储器 502作为一种非易失性计算机可读存储介质， 可用于存储非易失性软件程序 、 非易失性计算机可执行程序以及模块， 如本申请实施例中实现环境信息确定 方法的程序就存储于存储器 502中。 处理器 501通过运行存储在存储器 502中的非 易失性软件程序、 指令以及模块， 从而执行设备的各种功能应用以及数据处理 ， 即实现上述物质检测方法。
[0074] 存储器 502可以包括存储程序区和存储数据区， 其中， 存储程序区可存储操作 系统、 至少一个功能所需要的应用程序； 存储数据区可存储选项列表等。 此外 ， 存储器可以包括高速随机存取存储器， 还可以包括非易失性存储器， 例如至 少一个磁盘存储器件、 闪存器件、 或其他非易失性固态存储器件。 在一些实施 例中， 存储器 502可选包括相对于处理器 501远程设置的存储器， 这些远程存储 器可以通过网络连接至外接设备。 上述网络的实例包括但不限于互联网、 企业 内部网、 局域网、 移动通信网及其组合。 [0075] 一个或者多个程序模块存储在存储器 502中， 当被一个或者多个处理器 501执行 时， 执行上述任意方法实施例中的物质检测方法。
[0076] 上述产品可执行本申请实施例所提供的方法， 具备执行方法相应的功能模块和 有益效果， 未在本实施例中详尽描述的技术细节， 可参见本申请实施例所提供 的方法。
[0077] 本申请的第八实施例涉及一种计算机可读存储介质， 该计算机可读存储介质中 存储有计算机指令， 该计算机指令使计算机能够执行本申请任意方法实施例中 涉及的物质检测方法。
[0078] 本领域技术人员可以理解， 实现上述实施例方法中的全部或部分步骤是可以通 过程序来指令相关的硬件来完成， 该程序存储在一个存储介质中， 包括若干指 令用以使得一个设备 (可以是单片机， 芯片等) 或处理器 (processor) 执行本申 请各个实施例所述方法的全部或部分步骤。 而前述的存储介质包括： U盘、 移动 硬盘、 只读存储器 (ROM, Read-Only Memory) 、 随机存取存储器 (RAM, Ra ndom Access Memory) 、 磁碟或者光盘等各种可以存储程序代码的介质。
[0079] 本领域的普通技术人员可以理解， 上述各实施例是实现本申请的具体实施例， 而在实际应用中， 可以在形式上和细节上对其作各种改变， 而不偏离本申请的 精神和范围。

Claims

权利要求书
[权利要求 1] 一种物质检测方法， 包括：
确定数据库中与待检测物质的光谱匹配度最高的物质， 在所述数据库 中该物质对应条目中至少包括用于标记所述物质是否为混合物的可拆 分属性；
若根据所述匹配度最高的物质对应的条目中的可拆分属性， 确定所述 待检测物质为混合物， 则获取所述待检测物质的混合物成分信息； 显示所述待检测物质的混合物成分信息。
[权利要求 2] 如权利要求 i所述的物质检测方法， 其中， 所述条目中还包括用于保 存混合物成分信息的成分属性；
所述获取所述待检测物质的混合物成分信息， 包括：
判断所述匹配度最高的物质对应的条目的成分属性中是否保存有所述 混合物成分信息；
若有， 则将所述成分属性中保存的混合物成分信息作为所述待检测物 质的混合物成分信息；
否则， 从所述数据库中除所述匹配度最高的物质对应的条目之外的条 目中， 按照与所述光谱的匹配度最高项的物质名称和百分比， 确定所 述待检测物质的混合物成分信息。
[权利要求 3] 如权利要求 2所述的物质检测方法， 其中， 所述按照与所述光谱的匹 配度最高项的物质名称和百分比， 确定所述待检测物质的混合物成分 信息之后， 所述物质检测方法还包括：
将确定的所述混合物成分信息保存至所述匹配度最高的物质对应的条 目的成分属性中。
[权利要求 4] 如权利要求 1至 3任一项所述的物质检测方法， 其中， 所述混合物成分 信息包括： 成分的名称和成分在混合物中所占的比例。
[权利要求 5] 如权利要求 1至 4任一项所述的物质检测方法， 其中， 所述确定数据库 中与待检测物质的光谱匹配度最高的物质之前， 所述物质检测方法还 包括： 检测获得所述待检测物质的光谱。
[权利要求 6] 一种物质检测装置， 包括：
确定模块， 用于确定数据库中与待检测物质的光谱匹配度最高的物质 ， 在所述数据库中该物质对应条目中至少包括用于标记所述物质是否 为混合物的可拆分属性；
获取模块， 用于若根据所述匹配度最高的物质对应的条目中的可拆分 属性， 确定所述待检测物质为混合物， 则获取所述待检测物质的混合 物成分信息；
显示模块， 用于显示所述待检测物质的混合物成分信息。
[权利要求 7] 如权利要求 6所述的物质检测装置， 其中， 所述条目中还包括用于保 存混合物成分信息的成分属性；
所述获取模块具体用于：
判断所述匹配度最高的物质对应的条目的成分属性中是否保存有混合 物成分信息；
若有， 则将所述成分属性中保存的混合物成分信息作为所述待检测物 质的混合物成分信息；
否则， 从所述数据库中除所述匹配度最高的物质对应的条目之外的条 目中， 按照与所述光谱的匹配度最高项的物质名称和百分比， 确定所 述待检测物质的混合物成分信息。
[权利要求 8] 如权利要求 7所述的物质检测装置， 其中， 所述获取模块还用于： 将确定的所述混合物成分信息保存至所述匹配度最高的物质对应的条 目的成分属性中。
[权利要求 9] 一种电子设备， 包括：
至少一个处理器； 以及， 与所述至少一个处理器通信连接的存储器； 其中， 所述存储器存储有可被所述至少一个处理器执行的指令， 所述指令被 所述至少一个处理器执行， 以使所述至少一个处理器能够执行权利要 求 1至 5任一项所述的物质检测方法。 [权利要求 10] 一种计算机可读存储介质， 存储有计算机指令， 所述计算机指令用于 使所述计算机执行权利要求 1至 5任一项所述的物质检测方法。
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