WO2019183902A1

WO2019183902A1 - Lens detection method and apparatus, electronic device, and computer readable storage medium

Info

Publication number: WO2019183902A1
Application number: PCT/CN2018/081181
Authority: WO
Inventors: 骆磊; 牟涛涛
Original assignee: 深圳达闼科技控股有限公司
Priority date: 2018-03-29
Filing date: 2018-03-29
Publication date: 2019-10-03
Also published as: CN108780050B; CN108780050A

Abstract

The present application relates to the technical field of optical detection, and in particular, to a lens detection method and apparatus, an electronic device, and a computer readable storage medium. The lens detection method is applied to an optical detection device having a lens, and comprises: obtaining a contamination factor affecting a lens contamination index during detecting a spectrum of a substance, and updating the lens contamination index according to the contamination factor, the lens contamination index being used for indicating a contamination degree of the lens. The method can solve the problem of lens contamination state detection in an optical detection device.

Description

Method and device for detecting lens, electronic device and computer readable storage medium

Technical field

The present application relates to the field of optical detection technologies, and in particular, to a method and apparatus for detecting a lens, an electronic device, and a computer readable storage medium.

Background technique

At present, some professional optical substance testing equipments use a laser to illuminate the surface of a substance and excite the spectrum of the substance, and detect and identify the substance according to the spectrum of the substance, such as a Raman spectrometer.

technical problem

In the course of realizing the present application, the inventors have found that when obtaining a spectrum of a substance, when the laser is irradiated onto a dark or flammable article, it may cause smoke or burning of the substance due to laser focusing. However, the detection device is often very close to the substance to be tested during the detection. If the smoke is slightly larger due to laser irradiation or the smoke lasts for a long time, the smoke particles may be adsorbed on the lens, which may result in a decrease in the signal-to-noise ratio of the detection result. Furthermore, the detection time is prolonged or the known substance is not recognized, and even a recognition error occurs, which has a great influence on the user.

Therefore, there is a need for a technique that is capable of detecting the dirty condition of a lens.

Technical solution

A technical problem to be solved by some embodiments of the present application is to provide a method and apparatus for detecting a lens, an electronic device, and a computer readable storage medium for solving the problem of how to detect a dirty state of a lens in an optical detecting device.

An embodiment of the present application provides a method for detecting a lens, which is applied to an optical detecting device having a lens, comprising: obtaining a dirty factor affecting a lens dirty index in a process of detecting a spectrum of a substance; Update the lens dirty index, where the lens dirty index is used to indicate the degree of dirtiness of the lens.

An embodiment of the present application further provides an apparatus for detecting a lens, comprising: an obtaining module, configured to acquire a dirty factor affecting a lens dirty index in a process of detecting a spectrum of a substance; and an update module for using the dirty The dirty factor updates the lens dirty index, where the lens dirty index is used to indicate the degree of contamination of the lens.

An embodiment of the present application further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being at least A processor executes to enable at least one processor to perform the method of detecting a lens as described above.

The embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and when the computer program is executed by a processor, implements the above method for detecting a lens.

Beneficial effect

In the process of detecting the spectrum of the substance in some embodiments of the present application, the dirty factor affecting the lens dirty index is obtained, and the lens dirty index is updated according to the dirty factor obtained by the detection, thereby The lens can be judged to be dirty by the lens dirty index, so as to prompt the user to clean the lens in time, the intelligence of the optical detecting device is improved, and the user is provided with a good user experience.

DRAWINGS

The one or more embodiments are exemplified by the accompanying drawings in the accompanying drawings, and FIG. The figures in the drawings do not constitute a scale limitation unless otherwise stated.

1 is a flow chart of a method for detecting a lens in a first embodiment of the present application;

2 is a schematic structural diagram of an optical detecting device in a first embodiment of the present application;

3 is a schematic structural diagram of another optical detecting device in the first embodiment of the present application;

4 is a flow chart of a method for detecting a lens in a second embodiment of the present application;

FIG. 5 is a schematic structural diagram of an apparatus for detecting a lens in a third embodiment of the present application; FIG.

FIG. 6 is a schematic structural diagram of an electronic device in a fourth embodiment of the present application.

Embodiments of the invention

In order to make the objects, the technical solutions and the advantages of the present application more clear, some embodiments of the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. However, those of ordinary skill in the art will appreciate that in the various embodiments of the present application, numerous technical details are set forth in order to provide the reader with a better understanding of the application. However, the technical solutions claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.

A first embodiment of the present application relates to a method for detecting a lens, which is applied to an optical detecting device. The specific process is as shown in FIG. 1 and includes the following steps:

Step 101: In the process of detecting the spectrum of the substance, obtaining a dirty factor that affects the lens dirty index.

In one implementation, the soiling factors include a lens dirty lift index and/or a dirt likelihood index. If the dirty factor includes the lens dirty lifting index, a specific implementation method for obtaining the dirty factor affecting the lens dirty index is: determining the substance generating smoke and obtaining the smoke index during the detecting process, and determining the lens dirty lifting index according to the smoke index. . If the fouling factor includes the index of possible contamination, a specific implementation method for obtaining the fouling factor affecting the lens dirty index is to obtain the spectrum of the detected substance, analyze and determine the signal-to-noise ratio of the spectrum, and determine according to the signal-to-noise ratio. Dirty possibility index. If the dirty factor includes the lens dirtyness increase index and the dirtiness possibility index, a specific implementation method for obtaining the dirty factor affecting the lens dirty index is: determining the substance generating smoke and obtaining the smoke index during the detection process, according to the smoke index Determine the lens dirty lifting index; and obtain the spectrum of the detected substance, analyze and determine the signal-to-noise ratio of the spectrum, and determine the soiling probability index according to the signal-to-noise ratio.

It can be understood that the dirty factor is not limited to the above-mentioned lens dirtyness increase index and the dirtiness possibility index, and may include other factors such as detecting environmental factors, detecting substance factors, and the like, although the lens is dirty in the embodiment. The pollution improvement index and the pollution possibility index are specifically described as examples. In practice, the corresponding pollution factors affecting the lens dirty factors can be obtained according to the needs, and no specific restrictions are imposed here.

Step 102: Update the lens dirty index according to the dirty factor.

Among them, the lens dirty index is used to indicate the degree of dirtiness of the lens.

Specifically, when the dirty factor includes the lens dirtyness increase index, the lens dirty index is updated according to the lens dirtyness increase index; when the dirty factor includes the dirtyness possibility index, the lens dirty index is updated according to the dirtyness possibility index. When the dirty factor includes the lens dirtyness increase index and the dirtiness possibility index, the lens dirty index is updated according to the lens dirtyness increase index and the dirtiness possibility index. Among them, the lens dirt lifting index is related to the smoke index in the material detection process, and the soiling possibility index is related to the signal-to-noise ratio of the material spectrum. That is to say, the lens dirty index is updated according to the signal-to-noise ratio of the smoke index and/or the material spectrum when the lens dirty index is updated.

In a specific implementation, the sum of the lens dirty index and the dirty factor is calculated, and the value of the lens dirty index is updated to the obtained sum value. For example, the value of the updated lens dirty index can be expressed as: i=m+n, where i represents an updated lens dirty index, m represents a lens dirtyness increase index, and n represents a dirtyness possibility index.

In the specific implementation, the smoke index includes the smoke degree index, the distance between the substance and the lens, and the length of time from the generation to the disappearance of the smoke. A specific process for determining the substance generating smoke and obtaining the smoke index during the detection process is: obtaining an image of the substance photographed by the camera on the optical detecting device; determining the substance generating smoke by analyzing the image, and obtaining the smoke degree index, the substance and the lens through the image The distance value and the length of time from the generation to the disappearance of the smoke.

Among them, the first constraint relationship is satisfied between the smoke index and the lens dirty lifting index: m=f(a, t, d), m represents the lens dirty lifting index, a represents the smoke degree index, and d represents the distance between the substance and the lens. The value, t, represents the length of time from the generation to the disappearance of smoke. Among them, a, d and t are smoke indices. It should be noted that the smoke degree index in the first constraint relationship is proportional to the lens soil growth index. The distance between the material and the lens is inversely proportional to the lens soil growth index. The time from the generation to the disappearance of the smoke and the lens pollution increase index It is proportional.

Wherein, the second constraint relationship is satisfied between the signal-to-noise ratio and the pollution possibility index: n=f(sn), n represents a pollution possibility index, and sn represents a signal-to-noise ratio. The signal-to-noise ratio is inversely proportional to the probability of contamination in the second constraint relationship.

It should be noted that, in the second constraint relationship, the threshold value of the signal-to-noise ratio is set, and when sn and the signal-to-noise ratio threshold are equal, n=0, indicating that the lens is less likely to be dirty; sn is smaller than the signal-to-noise ratio threshold. When the value is n, n is a positive number. The smaller the sn is, the larger n is, which indicates that the lens is more likely to be dirty. When sn is greater than the signal-to-noise ratio threshold, n is a negative number. The larger the sn is, the smaller n is, indicating the possibility of lens contamination. The lower. The signal-to-noise ratio threshold can be determined by multiple experiments, or it can be an artificially set empirical value, and is not limited.

In a specific implementation, a Raman detecting terminal is taken as an example, and a camera is disposed on the same horizontal surface of the laser lens. As shown in FIG. 2, the camera 20 and the laser lens 30 are located at the same horizontal plane in the optical detecting device 10, and the substance 40 is located in the laser lens 30. Focus position. The tilt angle of the laser optical axis emitted by the camera and the detecting device can be any angle, and the position of the camera and the laser lens is not limited, but the shooting range of the camera includes a laser focus point and a certain range around the laser focus point.

It is worth mentioning that when the optical detecting device detects the smoke generation of the material, the optical detecting device can reduce the optical power of the laser and issue a prompt for the substance to generate smoke, and the specific prompting manners include but are not limited to the following: the substance may It is dark, exposed to light by laser; or the substance is flammable. For example, the user can set the alarm smoke level according to the smoke level index. If the smoke level index is equal to 3, the alarm smoke level is set. When the optical detection device detects the occurrence of smoke, it is determined whether the smoke level index is greater than the alarm smoke level. A prompt is issued when the smoke level index is greater than the alarm smoke level. In addition, the smoke alarm level can be set according to the distance between the substance and the lens, and there is no limitation.

It can be understood that determining the substance to generate smoke during the detection process needs to be completed by the detecting device. For example, the optical detecting device is provided with a smoke detector around the stage for placing the substance to be detected for detecting whether the substance generates smoke. Alternatively, a camera is provided around the lens of the optical detecting device, and it is determined whether or not the substance generates smoke by detecting an image taken by the camera. That is to say, the above manner of obtaining the smoke index through the camera is an example. Actually, other sensors may be disposed on the optical detecting device, and the smoke index is directly detected by the set sensor, and the specific manner of detecting the smoke index may be according to actual needs. Adjustment, no restrictions here.

It is worth mentioning that if the optical detecting device is provided with a camera, the image taken by the analyzing camera can be compared and processed by the processor of the optical detecting device to determine the smoke index, or the communication device is set on the optical detecting device, and the remote server Connected, the image taken by the camera is processed by the remote server to obtain the smoke index. It should be noted that the present application does not limit how to process the camera to capture images.

It should be noted that if the optical detecting device does not include a sensor or other component capable of recognizing the smoke, the optical detecting device may select to obtain a dirtyness possibility index to update the lens dirty index.

When the optical detection device detects a substance, in order to ensure that the spectrum of the obtained substance is accurate and reliable, it is necessary to determine that the substance is at the focus position of the lens. Taking an optical detecting device with a camera as an example, the device turns on the camera while turning on the laser, and images the laser spot through the camera, as shown in FIG. 3, if the substance is within the laser spot, and the diameter of the laser spot is smaller than the preset. The value indicates that the substance is located at the focus position of the optical detecting device; or the optical detecting device is provided with other ranging devices capable of detecting the distance between the substance and the lens. It should be noted that since the lens is determined, the lens is The focus is also determined, that is, the distance from the focus to the lens is fixed, and after the distance value between the substance and the lens is acquired by the distance measuring device, whether the substance is located at the focus position of the lens is determined according to the distance value.

Specifically, in the above specific implementation, the diameter of the laser spot can be set to a small value range. When the laser spot diameter is within the range of values, the substance is determined to be at the laser focus position, and the substance is placed correctly. The above manner of determining the correct placement of the substance by the camera or the distance measuring device is an example. Actually, the substance may be correctly placed according to the material characteristics or other mechanical structures, and is not specifically limited herein.

Specifically, the signal-to-noise ratio is obtained after the material spectrum is collected, the signal-to-noise ratio is determined according to the collected spectrum, and the lens dirty index is updated according to the signal-to-noise ratio. Therefore, updating the lens dirty index is after the substance detection is completed. In order to let the user know the degree of contamination of the lens after the detection is completed.

It is worth mentioning that after obtaining the material spectrum, the material spectrum is processed by a preprocessing algorithm, such as performing denoising normalization, calling the spectral matching algorithm to obtain the substance name and attribute, and the substance name and material attribute, etc. The results of the spectral processing are displayed to the user. How to deal with the material spectrum and obtain the substance name and material property are not specifically described in this application.

The second embodiment of the present application relates to a method for detecting a lens. The second embodiment is substantially the same as the first embodiment. The main difference is that the implementation manner for determining the degree of contamination of the optical detecting device is specifically described. The process is shown in Figure 4.

It should be noted that, in this embodiment, step 201 to step 204 are included, where step 203 and step 204 are substantially the same as steps 101 and 102 in the first embodiment, and details are not described herein again. For details of the technical details that are not described in detail in this embodiment, refer to the first embodiment, and details are not described herein again.

Step 201: Compare the lens dirty index with a threshold value to obtain a comparison result.

It should be noted that the foregoing threshold value may be set by the user according to experience in the optical detecting device.

Specifically, the lens dirty index may be a preset lens dirty index given by the optical detecting device just after the optical detecting device is turned on, or an updated lens dirty index after the last time the substance detecting is completed.

Step 202: If it is determined that the comparison result indicates that the lens needs to be cleaned, a prompt to clean the lens is issued.

Specifically, before the optical detecting device is started, before the spectrum of the substance is detected, in order to ensure that the obtained material spectrum is accurate and reliable, the degree of lens contamination is determined according to the threshold value. When the lens dirty index is greater than the threshold value, it indicates that the lens needs to be cleaned, and the optical detecting device issues a prompt to clean the lens. It should be noted that after the lens dirty index is compared with the threshold value, if it is determined that the lens does not need to be cleaned, the substance detection is directly performed.

In addition, when the optical detecting device issues a prompt to clean the lens, if the command to wipe the lens is obtained, the lens dirty index is updated to an initial value; if the command to wipe the lens is not obtained, the spectral detection of the substance is directly performed. It should be noted that the optical detecting device prompts the user to know the degree of contamination of the current lens before detecting the spectrum of the substance, and performs processing to ensure that the substance can be correctly identified in the subsequent detection.

It is worth mentioning that the above steps 201 and 202 can be performed before the detection of the substance, or after the substance detection is completed. If the lens detection index of the optical detection device is greater than the threshold after the substance detection is completed, the need is issued. The prompt for cleaning the lens, if the user does not choose to clean the lens, saves the updated lens dirty value, and performs steps 201 and 202 at the next power-on detection.

In a specific implementation, after the substance detection is completed, the above steps 201 and 202, if the lens dirty index of the optical detecting device is less than the threshold value, the updated lens dirty index can be expressed as i=m+n+i ₀ , where i ₀ represents the lens dirty index obtained at power-on, m represents the lens dirty lifting index, n represents the dirty possibility index, and i represents the updated lens dirty index. Judge

According to the size of the threshold value, and according to the judgment result, the prompt for cleaning the lens is issued. In general, i≥0, if it appears, m+n+i ₀ <0 sets the lens dirty index to zero.

In the above specific implementation, i ₀ is set to zero, and n is also zero. If the value of m is greater than the threshold value, it means that the material in the optical substance detection has a long-distance smoke, and the lens is highly dirty. That is, the distance between the substance and the lens is relatively close, the duration of the smoke from the generation to the disappearance is longer, and the smoke index is higher. Set i _{0 to} zero, m is also zero. If n is negative, the absolute value of n is positive, which may be greater than the threshold. That is, the signal-to-noise ratio obtained in a single time indicates that the lens is dirty. It should be noted that if n is a positive number, the judgment of the correctness of the user operation may not be completely accurate, and there are many reasons for affecting the signal-to-noise ratio. When the obtained n is greater than the threshold value, the signal noise needs to be acquired again. The ratio of n is determined, and the lens contamination cannot be determined based only on the signal-to-noise ratio of one time.

Compared with the prior art, the method for detecting a lens provided by the embodiment determines the degree of contamination of the lens according to the threshold value, so that the judgment of the degree of dirtiness of the lens is more reliable, and the substance detection is performed in a good detection environment. In turn, the resulting material spectrum is more reliable and accurate.

A third embodiment of the present application relates to an apparatus for detecting a lens, comprising: an obtaining module 501 and an updating module 502, and a structural block diagram thereof is shown in FIG. 5.

The obtaining module 501 is configured to obtain a dirty factor that affects the lens dirty index during the process of detecting the spectrum of the substance.

The update module 502 is configured to update the lens dirty index according to the dirty factor, wherein the lens dirty index is used to indicate the degree of dirt of the lens.

It should be noted that the apparatus for detecting a lens further includes: a comparison module, a prompting module, and a determining module; the comparing module is configured to compare the lens dirty index with a threshold value to obtain a comparison result; and the prompting module is configured to: if the comparison is determined The result indicates that the lens needs to be cleaned, and a prompt is required to clean the lens; the determination module is used to determine that the substance is at the focus of the lens.

Specifically, the dirty factor includes a lens dirty lifting index and/or a dirt possibility index; the obtaining module is specifically configured to determine a substance generating smoke and obtain a smoke index during the detecting process, and determine a lens dirty lifting index according to the smoke index; And/or, obtaining the spectrum of the detected substance, analyzing and determining the signal-to-noise ratio of the spectrum, and determining the soiling possibility index according to the signal-to-noise ratio.

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

It should be noted that the foregoing device embodiments are merely illustrative and do not limit the scope of protection of the present 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 the embodiment, no limitation is made herein.

A fourth embodiment of the present application relates to an electronic device having a structure as shown in FIG. The method includes: at least one processor 601; and a memory 602 communicatively coupled to the at least one processor 601.

In particular, memory 602 stores instructions that are executable by at least one processor 601.

Specifically, the processor 601 is configured to execute an instruction stored in the memory.

Specifically, the processor 601 is further configured to execute the method for detecting a lens in the first and second embodiments.

Specifically, the processor 601 is configured to: in the process of detecting a spectrum of the substance, obtain a dirty factor that affects a lens dirty index; and update a lens dirty index according to the dirty factor, wherein the lens dirty index is used to represent the lens The degree of soiling.

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

A fifth embodiment of the present application is directed to a computer readable storage medium, which is a computer readable storage medium having stored therein computer instructions that enable a computer to perform the present application A method of lens detection involved in one or second method embodiments.

It should be noted that those skilled in the art can understand that the display method in the above embodiment is 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 It is a single chip, a chip, etc. or a processor that performs 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 mobile hard disk, a read-only memory (ROM), and a random access memory (RAM, Random-Access). A variety of media that can store program code, such as a memory, a disk, or an optical disk.

A person skilled in the art can understand that the above embodiments are specific embodiments of the present application, and various changes can be made in the form and details without departing from the spirit and scope of the application. range.

Claims

A method of detecting a lens, wherein the method is applied to an optical detecting device having a lens, comprising:

In the process of detecting the spectrum of the substance, obtaining a dirty factor that affects the lens dirty index;

The lens dirty index is updated according to the dirty factor, wherein the lens dirty index is used to indicate the degree of soiling of the lens.
The method of detecting a lens according to claim 1, wherein the method of detecting a lens comprises: before the obtaining a dirty factor affecting a lens dirty index:

Comparing the lens dirty index with a threshold value to obtain a comparison result;

If it is determined that the comparison result indicates that the lens needs to be cleaned, a prompt to clean the lens is issued.
The method of detecting a lens according to claim 2, wherein the method for detecting a lens further comprises: after the prompting the cleaning of the lens, the obtaining a dirty factor affecting a lens dirty index, the method further comprising:

If an instruction to wipe the lens is obtained, the lens dirty index is updated to an initial value.
The method of detecting a lens according to claim 2 or 3, wherein the contamination factor comprises a lens dirtyness increase index and/or a soiling possibility index;

The obtaining the dirty factors affecting the lens dirty index includes:

Determining, during the detecting process, that the substance generates smoke and obtaining a smoke index, and determining the lens dirtyness increase index according to the smoke index;

and / or,

Obtaining a spectrum of the detected substance, analyzing and determining a signal-to-noise ratio of the spectrum, and determining the soiling probability index according to the signal-to-noise ratio.
The method of detecting a lens according to claim 4, wherein said smoke index comprises a smoke degree index, a distance value of said substance from said lens, and a duration of time from generation to disappearance of smoke;

The determining that the substance produces smoke and obtaining a smoke index during the detecting process comprises:

Obtaining an image of the substance photographed by a camera on the optical detecting device;

The substance is determined to produce smoke by analyzing the image, and the smoke degree index, the distance value of the substance from the lens, and the length of time from the generation to the disappearance of the smoke are obtained by analyzing the image.
The method of detecting a lens according to claim 5, wherein the determining the lens dirtyness improvement index according to the smoke index comprises:

Determining the lens dirtyness improvement index according to a first constraint relationship that is satisfied between the smoke index and the lens dirtyness increase index;

Wherein the smoke degree index in the first constraint relationship is proportional to the lens dirtyness increase index, and the distance value of the substance from the lens is inversely proportional to the lens dirtyness increase index, the smoke is from The length of time until it disappears is proportional to the lens's dirtyness increase index.
The method of detecting a lens according to claim 4, wherein the determining the dirt likelihood index according to the signal to noise ratio comprises:

Determining the soiling possibility index according to a second constraint relationship between the signal to noise ratio and the dirt likelihood index;

The signal-to-noise ratio in the second constraint relationship is inversely proportional to the dirt probability index.
The method of detecting a lens according to claim 3, wherein the updating the lens dirty index according to the dirty factor comprises:

Calculating the sum of the lens dirty index and the dirty factor, and updating the value of the lens dirty index to the obtained sum value.
The method of detecting a condition of a lens according to claim 1, wherein the method of detecting a condition of the lens comprises: before the obtaining a dirty factor that affects a dirty index of the lens:

It is determined that the substance is at a focus position of the lens.
A device for detecting a lens, comprising:

Obtaining a module for obtaining a dirty factor affecting a lens dirty index in the process of detecting a spectrum of the substance;

And an update module, configured to update the lens dirty index according to the dirty factor, wherein the lens dirty index is used to indicate the degree of soiling of the lens.
An electronic device, comprising:

At least one processor; and,

a memory communicatively coupled to the at least one processor; wherein

The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9 The method of detecting the lens.
A computer readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the method of detecting a lens according to any one of claims 1 to 9.