WO2020014842A1

WO2020014842A1 - Substance detection method and apparatus, terminal, and readable storage medium

Info

Publication number: WO2020014842A1
Application number: PCT/CN2018/095843
Authority: WO
Inventors: 骆磊; 牟涛涛
Original assignee: 深圳达闼科技控股有限公司
Priority date: 2018-07-16
Filing date: 2018-07-16
Publication date: 2020-01-23
Also published as: CN109073537A

Abstract

A substance detection method and apparatus, a terminal, and a readable storage medium. The substance detection method comprises: acquiring spectral data of a substance to be detected (101); on the basis of the spectral similarity between the spectral data of the substance to be detected and spectral data of samples in a database, determining matching results of matching the substance to be detected with the samples in the database (102), the database comprising spectral data and attribute information of known substances and spectral data and attribute information of unknown substances; and, on the basis of the matching result, determining a detection result of the substance to be detected (103). The likelihood of mis-identifying a substance to be detected can thereby be reduced.

Description

Method, device, terminal and readable storage medium for substance detection

Technical field

The present application relates to the field of substance detection, and in particular, to a method, a device, a terminal, and a readable storage medium for substance detection.

Background technique

The current process of identifying a substance to be tested is: obtaining the spectral data of the substance to be tested, and matching the spectral data of the substance to be tested with the spectral data of a known substance, if the similarity with the spectral data of the known substance exceeds The similarity threshold determines that the substance to be tested is a known substance.

technical problem

The inventor discovered during the research of the prior art that the amount of known substances currently contained in the database for substance detection is still very small. If the spectral data of a substance to be tested does not exist in the database, When a substance is tested for a substance, since the spectral data of the substance to be tested is very similar to the spectral data of a known sample in the database, the substance to be tested is often misjudged as a known substance in the database. In view of this situation, the current solution is to increase the similarity threshold of the spectral data of the sample in the database and the spectral data of the substance to be measured. However, when the substance is detected, the substance detection equipment is different, and it will be affected by the environment. The influence of factors, just by increasing the matching similarity threshold, often mistakes the test substance that originally belongs to the known sample in the database as an unknown substance.

Technical solutions

A technical problem to be solved in some embodiments of the present application is to provide a method, a device, a terminal, and a readable storage medium for substance detection, so as to reduce the probability of misidentification of a substance to be detected.

An embodiment of the present application provides a method for detecting a substance, including: obtaining spectral data of the substance to be measured; and determining the relationship between the substance to be measured and the spectral similarity between the spectral data of the substance to be measured and the spectral data of each sample in the database. The matching result of each sample in the database. The database includes the spectral data and attribute information of the known sample, and the spectral data and attribute information of the unknown sample. According to the matching result, the detection result of the substance to be tested is determined.

An embodiment of the present application further provides a device for detecting a substance, including: an acquisition module, a matching module, and a detection result determination module; the acquisition module is configured to acquire spectral data of a substance to be measured; and the matching module is configured to The spectral similarity between the spectral data and the spectral data of each sample in the database determines the matching results of the substance to be measured and each sample in the database. The database includes the spectral data and attribute information of known samples and the spectral data of unknown samples. And attribute information; the detection result determination module is used to determine the detection result of the substance to be tested according to the matching result.

An embodiment of the present application further provides a terminal, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor. The processor executes the method to enable at least one processor to perform the above-mentioned substance detection.

An embodiment of the present application further provides a computer-readable storage medium storing a computer program, and the computer program is executed by a processor to implement the foregoing method for detecting a substance.

Beneficial effect

Compared with the prior art, in some embodiments of the present application, the spectral data of the substance to be measured is matched with the spectral data of the known sample and the spectral data of the unknown sample in the database, and the matching result is obtained. Unknown samples, which increases the sample type of the database, increases the number of samples that can be matched by the test substance, reduces the probability of the test substance being misjudged due to the closeness of the spectral data of the known sample, and improves the test Accuracy of substance detection. At the same time, because there is no need to increase the originally set similarity threshold, avoiding the situation where the known substance is misjudged as an unknown substance due to the increase of the originally set similarity threshold, which improves the accuracy of the substance detection. Sex.

BRIEF DESCRIPTION OF THE DRAWINGS

One or more embodiments are exemplified by the pictures in the accompanying drawings. These exemplary descriptions do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the drawings in the drawings do not constitute a limitation on scale.

FIG. 1 is a specific flowchart of a method for detecting a substance in a first embodiment of the present application; FIG.

2 is a specific flowchart of a method for detecting a substance in a second embodiment of the present application;

3 is a specific flowchart of a method for detecting a substance in a third embodiment of the present application;

4 is a schematic structural diagram of a substance detection device in a fourth embodiment of the present application;

FIG. 5 is a schematic structural diagram of a terminal in a fifth embodiment of the present application.

Embodiments of the invention

In order to make the purpose, technical solution, and advantages of the present application clearer, some embodiments of the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application, and are not used to limit the application. However, a person of ordinary skill in the art can understand that in the embodiments of the present application, many technical details are provided in order to make the reader better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solution claimed in this application can be implemented.

The first embodiment of the present application relates to a method for detecting a substance. The method for detecting a substance can be applied to a terminal for detecting a substance, such as a Raman spectrometer. The specific process of this substance detection method is shown in Figure 1:

Step 101: Obtain spectral data of a substance to be measured.

Specifically, by opening a terminal for substance detection and scanning the substance to be measured, spectral data of the substance to be measured can be obtained, for example, by opening a spectrometer and scanning the substance to be measured to obtain spectrum data of the substance to be measured.

Step 102: According to the spectral similarity between the spectral data of the substance to be measured and the spectral data of each sample in the database, determine a matching result of the matching of the substance to be tested and each sample in the database, where the database includes the spectral data of the known sample and Attribute information, as well as spectral data and attribute information for unknown samples.

Specifically, the database stores the spectral data and attribute information of known samples, as well as the spectral data and attribute information of unknown samples, where the attribute information is used to indicate the relevant information of the sample, such as the sample name, user Remark information or sample photo information, sample characteristic information, etc .; because the name of the unknown sample is unknown, the user-defined name can be used for the name in the attribute information of the unknown sample, for example, "Unknown 1", "Unknown 2" and so on.

It can be understood that in order to enrich the sample types in the database, the user can increase the number of unknown samples in the database at any time. For example, after the user opens the terminal, the terminal scans an unknown substance to obtain the spectral data of the unknown substance, and acquires the unknown entered by the user The attribute information of the substance, save the spectral data of the unknown substance, the photo of the unknown substance, and the characteristic information of the unknown substance (such as: odor, texture, etc.) to the unknown sample in the database.

The terminal compares the obtained spectral data with the known and unknown samples stored in the database, obtains the spectral similarity between the spectral data of the substance to be measured and the spectral data of each sample in the database, and determines the substance to be measured and the database. The matching result of each sample in the comparison can be compared by comparing the characteristic peaks in the acquired spectral data with the characteristic peaks of the saved spectral data of the sample, and determining the spectral similarity according to the comparison result. Method (such as a variable screening method) to determine the matching result of the test substance and each sample in the database. The specific comparison process and screening method are not described in this embodiment. Of course, other methods can also be used to determine the matching result, which is not limited in this embodiment.

It can be understood that before the spectral data of the substance to be measured is compared with the sample in the database, the spectral preprocessing of the substance to be measured can be performed. The spectral preprocessing can eliminate the interference in the spectral data of the substance to be measured. feature.

Step 103: Determine the detection result of the substance to be tested according to the matching result.

In a specific implementation, the matching result includes the matching similarity between the test substance and the sample in the database, and according to the matching result, the process of determining the test result of the test substance is: determining whether the matching similarity corresponding to the sample exceeds a preset similarity To determine the detection result of the substance according to the determination result corresponding to the sample and the attribute information of the sample.

Specifically, the matching result is a comparison between the spectral data of the substance to be measured and the spectral data of the sample in the database, and the matching result after screening, that is, the spectral data of the substance to be measured and the spectral data of the sample in the database are obtained after comparison. Spectral similarity. The spectral similarity retained after screening is used as the matching similarity in the matching results. Usually, the matching result only includes a matching similarity corresponding to a sample that matches the spectral data of the substance to be measured. For example, the spectral data of the substance 1 to be tested is compared with the sample in the database. The matching result after screening is: The matching similarity of sample A is 90%; it can be understood that the matching result may also include multiple matching similarities, where each matching similarity has a unique corresponding sample that matches the spectral data of the substance to be tested, For example, the spectral data of the test substance 2 is compared with the sample in the database, and the matching result is: the similarity with the sample B is 90%; the similarity with the sample A + C is 80%, of which the sample A + C is expressed as a mixture of sample A and sample C in combination.

The preset similarity threshold is set in advance. However, the preset similarity threshold cannot be set too high or too low to avoid affecting the detection result of the substance detection. Therefore, the preset similarity threshold is counted countless times in practice. It is determined by the result of testing the substance.

Compare the matching similarity of the sample in the matching result with a preset similarity threshold to determine whether the matching similarity of the sample exceeds the preset similarity threshold, and determine based on the judgment result and the attribute information of the corresponding sample in the matching result The detection result of the substance to be tested specifically determines the detection result of the substance to be tested: if the sample corresponding to the matching similarity belongs to a known sample, and the determination result is that the matching similarity exceeds a preset similarity threshold value, it is determined to be The test substance is a known substance; if the sample corresponding to the matching similarity belongs to an unknown sample, and the judgment result is that the matching similarity exceeds a preset similarity threshold, the substance to be tested is unknown in the database; if the matching similarity corresponds to If the sample belongs to a mixture of known samples and unknown samples, and the judgment result is that the matching similarity exceeds a preset similarity threshold, the substance to be tested is determined to be a mixture of known samples and unknown samples; if the judgment result is that the matching similarity is low Based on the preset similarity threshold, it is determined that the substance to be tested is a new unknown sample.

A specific example will be used to explain the process of determining the test result of the substance to be tested.

For example, the matching result of the test substance 1 is: the matching similarity with the sample A is 90.5%; the matching result of the test substance 2 is: the matching similarity with the sample B is 91%; the matching result of the test substance 3 is: : The matching similarity with sample A + C is 92%; the matching result of test substance 4 is: the matching similarity with sample C is 80%; among them, sample A is a known sample in the database and sample A is already Known substance "fff", sample B and sample C are unknown samples in the database, sample B is unknown substance 1, sample C is unknown substance 2, sample A + C is expressed as a mixture of sample A and sample C, and the preset is similar The threshold is 90%. According to the attribute information of the sample A, it is determined that the sample A belongs to a known sample, and the matching similarity corresponding to the sample A exceeds a preset similarity threshold, and it is determined that the test substance 1 is a known substance “fff”. According to the attribute information of the sample B, it is determined that the sample B belongs to an unknown sample, and the matching similarity corresponding to the sample B exceeds a preset similarity threshold, and it is determined that the substance to be measured 2 is the unknown substance 1 in the database. According to the attribute information of the sample A + C, it is determined that the sample A + C belongs to the mixture in the database, and the matching similarity corresponding to the sample A + C exceeds a preset similarity threshold, and the test substance 3 is determined to be a known substance “fff” and unknown. Mixture of substance 2 combinations. The matching similarity corresponding to the sample D is lower than the preset similarity threshold, it is determined that the substance 4 to be tested is a new unknown, and the new unknown is not in the database.

Step 104: Display the detection result of the substance to be measured.

Specifically, if the detection result is a known substance, the stored attribute information of the known substance, such as name, characteristics, photos, or remark information, is displayed. If the detection result is an unknown substance in the database, the attribute information of the unknown substance stored in the database is displayed, such as a custom name ("Unknown substance 1"), a photo, etc. If the detection result is a mixture of a known sample and an unknown sample combination in the database, the attribute information of the known sample and the attribute information of the unknown sample in the database are displayed. If the detection result is a new unknown, an unrecognized mark is displayed, such as "unrecognized". It can be understood that, while displaying the detection result of the substance to be tested, the spectral data of the substance to be tested can also be displayed, which is not limited in this embodiment.

It is worth mentioning that after determining the detection result of the test substance in step 103, if it is determined that the test substance is a new unknown object, attribute information and spectral data of the new unknown object are added to the unknown sample in the database.

Specifically, if the detection result of the test substance is a new unknown, the attribute information and spectral data of the test substance are automatically added to the unknown sample in the database.

It should be noted that there is no sequence between step 104 and the step of adding a new unknown to the database, and they can be performed at the same time (for example, by using an asynchronous process) or at different times.

The second embodiment of the present application relates to a method for detecting a substance. The second embodiment is a further improvement on the first embodiment. The main improvement lies in that in this embodiment, after determining the detection result of the substance to be tested, Including: judging whether an update request to update the database is received, and if so, updating the database according to the detection result of the substance to be measured. The specific method of this substance detection method is shown in Figure 2:

Step 201: Obtain spectral data of the substance to be measured.

Step 202: According to the spectral similarity between the spectral data of the substance to be measured and the spectral data of each sample in the database, determine a matching result that the substance to be tested matches each sample in the database.

Step 203: Determine the detection result of the substance to be tested according to the matching result.

Step 204: Display the detection result of the substance to be measured.

Step 205: Determine whether an update request to update the database is received, and if so, execute step 206; otherwise, end the process.

Specifically, the option of adding a sample may be displayed on the display interface of the substance detection terminal. If the test result of the substance to be tested is a new unknown, the user may receive an update request by selecting the option of adding a sample. In order to easily determine whether an update request is received, the determination may be performed within a preset time period (for example, 30 seconds). Of course, other methods for obtaining update requests can also be adopted, which are not listed here one by one.

Step 206: Update the database according to the detection result of the substance to be measured.

Specifically, if the detection result of the substance to be tested is a new unknown, the spectral data and attribute information of the substance to be tested are added to the unknown sample in the database. If the test result of the test substance is a sample stored in the database (that is, the test substance is a known substance, an unknown sample in the database, or a mixture of a known sample and an unknown composition in the database), the attribute information of the test substance is judged Is it the same as the attribute information of the sample stored in the database? If it is the same, the database is not updated; otherwise, the attribute information of the substance to be tested is added to the corresponding sample in the database.

It should be noted that steps 201 to 204 in this embodiment are substantially the same as steps 101 to 104 in the first embodiment, and details are not described herein again. In addition, steps 205 to 206 may also be performed after execution of step 203. Of course, if executed after step 203, step 205 executes step 204 when it is determined that an update request has not been received.

Compared with the prior art, the substance detection method provided in this embodiment updates the database according to whether an update request is received after determining the detection result of the substance to be tested, which makes the database update very flexible and also increases The sample data stored in the database further enriches the content stored in the database and improves the accuracy of the detection of the substance to be detected.

The third embodiment of the present application relates to a method for detecting a substance. The third embodiment is a further improvement on the second embodiment. The main improvement is that the embodiment further includes: adding a sample to the database. The specific flow of this substance detection method is shown in Figure 3.

Step 301: Obtain spectral data of a substance to be measured.

Step 302: Determine the matching result of the substance to be tested and each sample in the database according to the spectral similarity between the spectrum data of the substance to be tested and the spectral data of each sample in the database.

Step 303: Determine the detection result of the substance to be tested according to the matching result.

Step 304: Display the detection result of the substance to be measured.

Step 305: Determine whether an update request to update the database is received. If yes, go to step 306; otherwise, go to step 307.

Step 306: Update the database according to the detection result of the substance to be measured. After that, step 307 is executed.

Step 307: Receive a request for adding a sample.

Specifically, the user may initiate an addition request to the terminal for substance detection through other terminals, or the user may initiate the addition request through the display interface of the terminal for substance detection. In this embodiment, the manner in which a user initiates an add request is not limited. The addition request may carry attribute information and spectral data of the sample to be added, or may not carry attribute information and spectral data of the sample to be added, which is not limited in this embodiment.

Step 308: Add the attribute information and the spectral data of the sample to be added to the database according to the adding request.

In a specific implementation, the sample to be added is a known substance, and the attribute information and spectrum data of the sample to be added are obtained according to the addition request; according to the sample name in the attribute information of the sample to be added, it is determined whether the sample to be added is in the database or not. The name of the sample is the same. If it is, the attribute information and spectral data of the sample to be added are added to the known samples in the database according to the user's choice; otherwise, it is determined whether the sample to be added exists in the database according to the spectral data of the sample to be added. If the sample is unknown, add the attribute information and spectral data of the sample to be added to the known sample, and delete the same sample from the unknown sample as the sample to be added. If not, directly add the attribute of the sample to be added Information and spectral data are added to known samples in the database.

Specifically, one or more samples can be added. A specific example below illustrates the process of adding samples.

For example, spectral data and attribute information of the sample 1 to be added are acquired, where the attribute information includes the name, material characteristics, and photo information of the sample 1 to be added. According to the name of the to-be-added sample 1, determine whether a sample with the same name as the to-be-added sample exists in the known samples in the database. If it exists, the user is prompted to add it. If the user chooses to add, the The attribute information and spectral data of the added sample are added to the database, covering the known samples with the same name in the database; if it does not exist, according to the spectral data of the sample 1 to be added, it is determined whether the spectral data and the unknown samples exist in the database. An unknown sample with the same spectral data of sample 1 to be added. If the spectral data of unknown sample B in the database is the same as the spectral data of sample 1 to be added, the attribute information and spectral data of sample 1 to be added are added to the known database. In the sample, delete the unknown sample B from the unknown sample in the database at the same time, that is, delete the attribute information and spectral data of the unknown sample B from the unknown sample; if there is no unknown sample with the same spectral data as the sample 1 to be added, then directly Add the property information and spectral data of Sample 1 to the known samples in the database.

It should be noted that steps 301 to 306 in this embodiment are substantially the same as steps 201 to 206 in the second embodiment, and details are not described herein again.

Compared with the prior art, when adding a sample, the method for detecting a substance provided in this embodiment determines whether a known sample in the database has a sample with the same name as the sample to be added to prevent the situation of repeatedly adding a known sample. The spectral data of the sample to be added is compared with the unknown sample in the database, so as to prevent the situation that the to-be-added sample is in both the known sample and the unknown sample after the sample is added, and the sample is not duplicated in the database, thereby improving the Accuracy of the test substance.

A fourth embodiment of the present application relates to a device 40 for detecting a substance, including: an acquisition module 401, a matching module 402, and a detection result determination module 403. The specific results of the device 40 are shown in FIG.

The obtaining module 401 is used to obtain the spectral data of the substance to be measured; the matching module 402 is used to determine the match between the substance to be measured and the samples in the database according to the spectral similarity between the spectral data of the substance to be measured and the spectral data of each sample in the database As a result, the database includes the spectral data and attribute information of the known sample, and the spectral data and attribute information of the unknown sample; the detection result determination module 403 is configured to determine the detection result of the substance to be tested according to the matching result.

This embodiment is an embodiment of a virtual device corresponding to the foregoing method for detecting a substance. The technical details in the foregoing method embodiment are still applicable in this embodiment, and details are not described herein again.

It should be noted that the device embodiments described above are only schematic and do not limit the scope of protection of this application. In practical applications, those skilled in the art may select some or all of the modules according to actual needs. To achieve the purpose of the solution of this embodiment, there is no limitation here.

A fifth embodiment of the present application relates to a terminal 50, and its structure is shown in FIG. It includes: at least one processor 501; and a memory 502 communicatively connected to the at least one processor 501. The memory 502 stores instructions executable by at least one processor 501. The instructions are executed by at least one processor 501, so that the at least one processor 501 can perform the above-mentioned method of substance detection.

The memory 502 and the processor 501 are connected in a bus manner. The bus may include any number of interconnected buses and bridges. The bus links one or more processors 501 and various circuits of the memory 502 together. The bus can also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, so they are not described further herein. The bus interface provides an interface between the bus and the transceiver. A transceiver can be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. The data processed by the processor 501 is transmitted on a wireless medium through an antenna. Further, the antenna also receives the data and transmits the data to the processor 501.

The processor 501 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory 502 may be used to store data used by the processor when performing operations.

It should be noted that the processor in this embodiment can execute the implementation steps in the foregoing method embodiments, and the specific execution functions are not described in detail. For technical details in the method embodiments, details are not described herein again.

The sixth embodiment of the present application relates to a computer-readable storage medium. The readable storage medium is a computer-readable storage medium. The computer-readable storage medium stores computer instructions that enable a computer to execute the first application of the present application. A method for detecting a substance involved in one or the second method embodiments.

It should be noted that those skilled in the art can understand that the display method in the above embodiments is implemented by a program instructing related hardware. The program is stored in a storage medium and includes several instructions to make a device (may It is a single-chip microcomputer, a chip, or the like) or a processor that executes all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), and a random access memory (RAM, Random-Access Memory), magnetic disks, or compact discs, which can store program code.

Those of ordinary skill in the art can understand that the foregoing embodiments are specific embodiments for implementing the present application, and in practical applications, various changes can be made in form and details without departing from the spirit and range.

Claims

A method for substance detection, including:

Obtain the spectral data of the substance to be measured;

Determining the matching result of the test substance and each sample in the database according to the spectral similarity between the spectrum data of the test substance and the spectrum data of each sample in the database, wherein the database includes known samples Spectral data and attribute information, as well as spectral data and attribute information of unknown samples;

According to the matching result, a detection result of the test substance is determined.
The method for detecting a substance according to claim 1, wherein the matching result includes a matching similarity between the substance to be tested and a sample in the database;

Determining the detection result of the substance to be tested according to the matching result specifically includes:

Determine whether the matching similarity corresponding to the sample exceeds a preset similarity threshold, and obtain a judgment result corresponding to the sample;

The detection result of the substance to be tested is determined according to a judgment result corresponding to the sample and attribute information of the sample.
The method for detecting a substance according to claim 2, wherein determining the detection result of the substance to be tested according to a judgment result corresponding to the sample and attribute information of the sample specifically includes:

If the sample corresponding to the matching similarity belongs to a known sample, and the judgment result is that the matching similarity exceeds the preset similarity threshold, determining that the substance to be tested is a known substance;

If the sample corresponding to the matching similarity belongs to an unknown sample, and the judgment result is that the matching similarity exceeds the preset similarity threshold, determining that the substance to be tested is an unknown in the database;

If the sample corresponding to the matching similarity belongs to a mixture of a known sample and an unknown sample, and the judgment result is that the matching similarity exceeds the preset similarity threshold, the substance to be tested is determined to be a known sample and A mixture of unknown samples;

If the determination result is that the matching similarity is lower than the preset similarity threshold, it is determined that the substance to be tested is a new unknown.
The method for detecting a substance according to any one of claims 1 to 3, wherein after determining a detection result of the substance to be tested, further comprising:

If it is determined that the substance to be measured is a new unknown object, attribute information and spectral data of the new unknown object are added to the unknown sample in the database.
The method for detecting a substance according to any one of claims 1 to 3, wherein after determining a detection result of the substance to be tested, further comprising:

It is determined whether an update request to update the database is received, and if so, the database is updated according to the detection result of the substance to be measured.
The method for detecting a substance according to claim 5, wherein the method for detecting a substance further comprises:

Receiving a request for adding a sample;

Adding attribute information and spectrum data of the sample to be added to the database according to the adding request.

7. The method for detecting a substance according to claim 6, wherein the sample to be added is a known substance, and the attribute information and spectral data of the sample to be added are added to the database according to the addition request, These include:

Obtaining attribute information and spectral data of the sample to be added according to the adding request;

According to the sample name in the attribute information of the sample to be added, determine whether the sample to be added has the same name as a known sample in the database, and if so, add the attribute information and spectral data of the sample to be added to the Among known samples of the database;

Otherwise, according to the spectral data of the sample to be added, determine whether the sample to be added exists in an unknown sample in the database, and if so, add attribute information and spectral data of the sample to be added to the known In the sample, the same sample as the to-be-added sample is deleted from the unknown sample, and if not, the attribute information and spectral data of the to-be-added sample are directly added to the known sample in the database.
The method for detecting a substance according to any one of claims 1 to 7, after determining a detection result of the substance to be tested, further comprising:

The detection result of the test substance is displayed.
A device for substance detection, comprising: an acquisition module, a matching module, and a test result determination module;

The acquisition module is configured to acquire spectral data of a substance to be measured;

The matching module is configured to determine a matching result for matching the substance to be tested with each sample in the database according to the spectral similarity between the spectrum data of the substance to be tested and the spectral data of each sample in the database, wherein the The database includes spectral data and attribute information of known samples, as well as spectral data and attribute information of unknown samples;

The detection result determination module is configured to determine a detection result of the substance to be tested according to the matching result.
A terminal, including:

At least one processor; and

A memory connected in communication with the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method according to any one of claims 1 to 8. Method of substance detection.
A computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the method for detecting a substance according to any one of claims 1 to 8 is implemented.