CN105136742A - Cloud spectrum database-based miniature spectrometer and spectrum detection method - Google Patents
Cloud spectrum database-based miniature spectrometer and spectrum detection method Download PDFInfo
- Publication number
- CN105136742A CN105136742A CN201510519894.XA CN201510519894A CN105136742A CN 105136742 A CN105136742 A CN 105136742A CN 201510519894 A CN201510519894 A CN 201510519894A CN 105136742 A CN105136742 A CN 105136742A
- Authority
- CN
- China
- Prior art keywords
- module
- clouds
- mobile terminal
- intelligent mobile
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Spectrometry And Color Measurement (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention provides a cloud spectrum database-based miniature spectrometer and a spectrum detection method. The miniature spectrometer comprises a power supply, a light source, a spectroscopic imaging module, a control module, a communication module, and an intelligent mobile terminal provided with a display assembly, the intelligent mobile terminal is connected with the communication module to communicate with the control module and is suitable for connecting with a cloud processor including a cloud spectrum database, spectrum information of a sample on the cloud processor is compared with the spectrum database, and a comparison result is displayed on the display module of the intelligent mobile terminal. The spectrum database is arranged on the cloud processor, so the spectrum database chip and the processing module group of the miniature spectrometer have small size, and the dimension of the miniature spectrometer is shortened, thereby the miniature spectrometer is convenient to carry.
Description
Technical field
The present invention relates to spectrometer technical field, specifically, particularly a kind of micro spectrometer based on high in the clouds spectra database and spectral method of detection.
Background technology
In recent years, food-safety problem was more serious, and the food problems that residues of pesticides exceed standard, illegal adjuvant, environmental pollution etc. are caused emerges in an endless stream.Traditional detection method as: the method for quick such as bioassay method, Physico-chemical tests method all need to do specific sample pretreatment, detect length consuming time, and sensitivity is limited.
Spectrometer is widely used in field of food detection.The space that the spectrum groupware of existing spectrometer takies is larger, and the spectroscopic data of spectrometer is generally all written in its ROM carried, cause existing spectrometer size thus relatively large, manufacturing cost is higher, in use operate more complicated, higher to the professional requirement of operator, and, because existing spectrometer volume is comparatively large, carry also inconvenient.In addition, because spectroscopic data is written in the ROM of spectrometer, in spectrometer use procedure, need the spectroscopic data relied in the ROM of spectrometer, spectroscopic data or cannot real-time update or only for specific area, limit the usable range of spectrometer.
Summary of the invention
The present invention is intended to solve one of above-mentioned technical matters of the prior art at least to a certain extent.In view of this, the present invention needs to provide a kind of micro spectrometer based on high in the clouds spectra database that can carry out spectral data comparison beyond the clouds, further, the present invention needs to provide a kind of spectral method of detection that simultaneously can rely on local spectra database and high in the clouds spectra database.
A kind of micro spectrometer based on high in the clouds spectra database provided according to a first aspect of the present invention, comprising: power supply; Light source, described light source is connected with described power supply; Spectroscopic imaging module, described spectroscopic imaging module is positioned at the downstream of described light source and mates with described light source, for the spectral information collecting sample; Control module, described control module and described spectroscopic imaging model calling are to obtain the spectral information of described sample; Communication module, described communication module is connected with described control module; And there is the intelligent mobile terminal of display module, described intelligent mobile terminal is connected to communicate with described control module with described communication module, described intelligent mobile terminal is suitable for being connected with the high in the clouds processor including spectra database, on the processor of described high in the clouds, the spectral information of described sample and described spectra database contrast, and the result of contrast is presented on the described display module of described intelligent mobile terminal.
According to an embodiment of the invention based on the micro spectrometer of high in the clouds spectra database, spectra database is located on the processor of high in the clouds, thus, the spectra database chip of micro spectrometer can be made and process modular volume less, reduce the size of micro spectrometer, micro spectrometer is easy to carry more.Secondly, by the comparison structure of intelligent mobile terminal display light modal data, more convenient to use.In addition, the spectral information of the spectra database in the process of high in the clouds is more complete, expands the usable range of micro spectrometer.
In addition, the micro spectrometer based on high in the clouds spectra database according to the above embodiment of the present invention can also have following additional technical characteristic:
According to one embodiment of present invention, the micro spectrometer based on high in the clouds spectra database comprises the memory module be connected with described control module further.
According to one embodiment of present invention, the micro spectrometer based on high in the clouds spectra database comprises the environmental sensor module be connected with described control module further, and described environmental sensor module comprises at least one in temperature sensor and humidity sensor.
According to one embodiment of present invention, described spectroscopic imaging module comprises spectral module and image-forming module, described spectral module comprises adjustable linear filter (LVF) or method boolean POLO interference piece (FPI), and being positioned at the microlens array in described adjustable linear filter (LVF) or described method boolean POLO interference piece (FPI) downstream, described image-forming module is connected with described control module.
According to one embodiment of present invention, described communication module comprises the one in USB interface, blue tooth interface and wireless network interface.
According to a second aspect of the invention, a kind of spectral method of detection is provided, comprises the following steps: S1: irradiate sample and obtain the spectral information of described sample; S2: mate with local spectra database, if the match is successful, show matching result by intelligent mobile terminal, if the match is successful, after being mated with the cloud database of high in the clouds processor by intelligent mobile terminal, described intelligent mobile terminal shows matching result.
According to spectral method of detection of the present invention, spectra database is located on the processor of high in the clouds, when there is no the spectral information with the Spectral matching detected in this locality, can compare with cloud database, the spectral information of the spectra database in the process of high in the clouds is more complete, expands the usable range of micro spectrometer.And because high in the clouds processor is provided with spectra database, the spectra database chip of micro spectrometer can be made and process modular volume less, reduce the size of micro spectrometer, micro spectrometer is easy to carry more.
In addition, spectral method of detection according to the above embodiment of the present invention can also have following additional technical characteristic:
According to one embodiment of present invention, irradiating sample and obtaining in the process of the spectral information of described sample, by multiple repairing weld, obtain the averaged spectrum of sample, to obtain the spectral information of described sample.
According to one embodiment of present invention, after obtaining the spectral information of described sample, mate with local spectra database again after the control module pre-service of micro spectrometer.
According to one embodiment of present invention, while being undertaken mating by intelligent mobile terminal and cloud database, intelligent mobile terminal sends local positional information, environmental information and user profile to high in the clouds processor.
According to one embodiment of present invention, described high in the clouds processor comprises spectrum memory module, policy store module and the control be connected respectively with described spectrum memory module, described policy store module and processing unit.
Additional aspect of the present invention and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the micro spectrometer based on high in the clouds spectra database according to an embodiment of the invention.
Fig. 2 is the schematic diagram of the spectroscopic imaging module of the micro spectrometer based on high in the clouds spectra database according to an embodiment of the invention.
Fig. 3 is the schematic diagram of spectral method of detection according to an embodiment of the invention.
Fig. 4 is that local data base according to an embodiment of the invention carries out synchronous schematic diagram with cloud database.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Be exemplary below by the embodiment be described with reference to the drawings, be intended to for explaining the present invention, and can not limitation of the present invention be interpreted as.
In describing the invention, it will be appreciated that, term " " center ", " longitudinal direction ", " transverse direction ", " length ", " width ", " thickness ", " on ", D score, " front ", " afterwards ", " left side ", " right side ", " vertically ", " level ", " top ", " end " " interior ", " outward ", " clockwise ", orientation or the position relationship of the instruction such as " counterclockwise " are based on orientation shown in the drawings or position relationship, only the present invention for convenience of description and simplified characterization, instead of indicate or imply that the device of indication or element must have specific orientation, with specific azimuth configuration and operation, therefore limitation of the present invention can not be interpreted as.
In addition, term " first ", " second " only for describing object, and can not be interpreted as instruction or hint relative importance or imply the quantity indicating indicated technical characteristic.Thus, be limited with " first ", the feature of " second " can express or impliedly comprise one or more these features.In describing the invention, the implication of " multiple " is two or more, unless otherwise expressly limited specifically.
In the present invention, unless otherwise clearly defined and limited, the term such as term " installation ", " being connected ", " connection ", " fixing " should be interpreted broadly, and such as, can be fixedly connected with, also can be removably connect, or integral; Can be mechanical connection, also can be electrical connection; Can be directly be connected, also indirectly can be connected by intermediary, can be the connection of two element internals or the interaction relationship of two elements.For the ordinary skill in the art, above-mentioned term concrete meaning in the present invention can be understood as the case may be.
In the present invention, unless otherwise clearly defined and limited, fisrt feature second feature it " on " or D score can comprise the first and second features and directly contact, also can comprise the first and second features and not be directly contact but by the other characterisation contact between them.And, fisrt feature second feature " on ", " top " and " above " comprise fisrt feature directly over second feature and oblique upper, or only represent that fisrt feature level height is higher than second feature.Fisrt feature second feature " under ", " below " and " below " comprise fisrt feature immediately below second feature and tiltedly below, or only represent that fisrt feature level height is less than second feature.
As shown in Figure 1, according to an embodiment of the invention based on the micro spectrometer of high in the clouds spectra database, comprising: power supply 600, light source 200, spectroscopic imaging module 300, control module 500, communication module 502 and there is the intelligent mobile terminal 503 of display module (depending on going out).
Specifically, light source 200 is connected with power supply 600, to ensure that light source 200 can to sample irradiation.It should be noted that, the connection that power supply 200 can be direct or indirect with all parts of micro spectrometer, to ensure the normal work of micro spectrometer.Power supply 600 is prior art with the connection of all parts, is not just repeating here.
According to one embodiment of present invention, light source 600 can be tungsten lamp.Be understandable that, light source 600 is also not limited to this, and such as, light source 600 can be Single wavelength LASER Light Source.
Spectroscopic imaging module 300 is positioned at the downstream of light source 600 and mates with light source 600, for the spectral information collecting sample 100.It should be noted that, spectroscopic imaging module 300 mentioned here is mated with light source 600 and is referred to, the illumination that light source 600 sends is mapped to image-forming module 300 that sample 100 can be split after reflection and receives, to obtain the spectral information of required sample 100.
Control module 500 is connected with spectroscopic imaging module 300 spectral information obtaining sample 100, and meanwhile, communication module 502 is connected with control module 500, and intelligent mobile terminal 503 is connected to communicate with control module 500 with communication module 502.Communication mentioned here, can be understood as, the intercommunication mutually between control module 500 with intelligent mobile terminal 503, and control module 500 and intelligent mobile terminal all have transmission-receiving function.Intelligent mobile terminal 503 is suitable for being connected with the high in the clouds processor including spectra database, and on processor, the spectral information of sample and spectra database contrast beyond the clouds, and the result of contrast is presented on the display module of intelligent mobile terminal.
According to an embodiment of the invention based on the micro spectrometer of high in the clouds spectra database, spectra database is located on the processor of high in the clouds, thus, the spectra database chip of micro spectrometer can be made and process modular volume less, reduce the size of micro spectrometer, micro spectrometer is easy to carry more.Secondly, by the comparison structure of intelligent mobile terminal 503 display light modal data, more convenient to use.In addition, the spectral information of the spectra database in the process of high in the clouds is more complete, expands the usable range of micro spectrometer.
As shown in Figure 1, according to one embodiment of present invention, micro spectrometer based on high in the clouds spectra database may further include the memory module 501 be connected with control module 500, memory module 501 can be used for storing popular spectroscopic data, can by selecting, the spectral information of the sample 100 collected is allowed first to contrast with the spectral information in memory module 501, if do not have the spectral information mated contrasting with the spectral information on cloud server.And memory module 501 can carry out synchronized update with high in the clouds, firmware upgrade.
As shown in Figure 1, according to one embodiment of present invention, micro spectrometer based on high in the clouds spectra database comprises the environmental sensor module 400 be connected with control module 500 further, and environmental sensor module 400 comprises at least one in temperature sensor and humidity sensor.Thus, temperature sensor and humidity sensor can detect the environment residing for micro spectrometer, and corresponding testing result is sent to cloud server.Be understandable that, be sent to the information of cloud server not prior to this, such as, some information on intelligent mobile terminal 503 also can be sent on cloud server, such as, intelligent mobile terminal, such as smart mobile phone (operating system comprises Android and iOS), on the geographical location information obtained by GPS also can be sent on cloud server.
As shown in Figure 2, according to one embodiment of present invention, spectroscopic imaging module 300 comprises spectral module 301 and image-forming module 302, spectral module 301 comprises adjustable linear filter 3011 or method boolean POLO interference piece 3011, and being positioned at the microlens array 3012 in adjustable linear filter 3011 or method boolean POLO interference piece 3011 downstream, image-forming module 302 is connected with control module 500.Thus, the micro spectrometer size based on high in the clouds spectra database can be reduced further.
Further, according to one embodiment of present invention, communication module 502 can comprise the one in USB interface, blue tooth interface and wireless network interface, thus, and can so that communicate with intelligent mobile terminal 503.
As shown in Figure 3, spectral method of detection according to an embodiment of the invention, comprises the following steps: S1: irradiate sample and obtain the spectral information of sample; S2: mate with local spectra database, if the match is successful, show matching result by intelligent mobile terminal, if the match is successful, after being mated with the cloud database of high in the clouds processor by intelligent mobile terminal, intelligent mobile terminal shows matching result.
According to spectral method of detection of the present invention, spectra database is located on the processor of high in the clouds, when there is no the spectral information with the Spectral matching detected in this locality, can compare with cloud database, the spectral information of the spectra database in the process of high in the clouds is more complete, expands the usable range of micro spectrometer.And because high in the clouds processor is provided with spectra database, the spectra database chip of micro spectrometer can be made and process modular volume less, reduce the size of micro spectrometer, micro spectrometer is easy to carry more.
Further, according to one embodiment of present invention, irradiating sample and obtaining in the process of the spectral information of sample, by multiple repairing weld, the averaged spectrum of sample is obtained, to obtain the spectral information of sample.Thus, spectral information more accurately can be obtained.
According to one embodiment of present invention, after obtaining the spectral information of sample, mate with local spectra database again after the control module pre-service of micro spectrometer.Thus, the accuracy of spectral detection can be improved further.
According to one embodiment of present invention, while being undertaken mating by intelligent mobile terminal and cloud database, intelligent mobile terminal sends local positional information, environmental information and user profile to high in the clouds processor.Thus, can so that revision spectrometric data.
According to one embodiment of present invention, high in the clouds processor comprises spectrum memory module, policy store module and the control be connected respectively with spectrum memory module, policy store module and processing unit.
According to an embodiment of the invention based on the micro spectrometer of high in the clouds spectra database, specific design one can carry out (see Fig. 4) that spectra database firmware (ROM) upgrades, can with intelligent mobile terminal, such as carry out that communicate, that spectroscopic data comparison can be carried out beyond the clouds micro spectrometer for smart mobile phone (Android and iOS), this micro spectrometer can be used for food inspection, cosmetics detection, environment measuring etc., belongs to spectrometer, examines apparatus field soon.
Spectral detection flow process:
Step1: light source is launched, irradiates sample;
Step2: multiple repairing weld, is averaged spectrum;
Step3: spectroscopic data is through master control panel pre-service;
Step4: carry out pre-matching with local spectra database.
Situation one: the match is successful for local spectra database;
Step5: the match is successful, transmission matching result is to mobile phone;
Step6: mobile phone display matching result.
Situation two: local spectra database is without characteristic spectrum data;
Step5: do not match data, transmission measurement spectrum is to mobile phone;
Step6: transmit data to cloud server through mobile phone APP; (wherein data are containing spectroscopic data, environmental information, GPS, user's input information)
Step7: mate with high in the clouds spectra database;
Step8: mated, transmission matching result, to mobile phone, shows matching result by mobile phone.
Transmission data composition:
The spectroscopic data of detected material, during operator's operational light spectrometer, spectrometer can carry out Multiple-Scan, certificate of taking the mean;
Spectroscopic data contains: near infrared spectrum, fluorescence spectrum, Raman spectrum;
Environmental information, containing temperature, humidity etc., for revising spectrometric data;
GPS information, is obtained by intelligent handheld device, can mark the geographic position of detected material;
User's input information: by the operating interactive data of user on intelligent handheld device (as mobile phone A PP).
The difference of local data base and high in the clouds spectra database:
Local spectra database only preserves up-to-date, the most popular spectra database;
High in the clouds spectra database is preserved: the characteristic spectrum database of different material or the spectroscopic data of detected material;
Local spectra database and high in the clouds spectra database carry out synchronized update according to certain frequency;
The purpose of design of local spectra database is to carry fast detection speed, need not compare at focus inquiry material with cloud database.
See Fig. 4, below the simple local data base that describes carry out synchronous strategy with cloud database:
1) micro spectrometer and handheld device connect.
2) cloud server is asked to obtain firmware upgrade information.
3) upgrade information write handheld device (mobile phone).
4) upgrade information writes micro-letter spectrometer master control panel storer.
According to one embodiment of present invention, use miniature beam splitting system to substitute traditional grating prism etc., reduce spectrometer size of components further.
In the description of this instructions, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not must for be identical embodiment or example.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.In addition, the different embodiment described in this instructions or example can carry out engaging and combining by those skilled in the art.
Although illustrate and describe embodiments of the invention above, be understandable that, above-described embodiment is exemplary, can not be interpreted as limitation of the present invention, and those of ordinary skill in the art can change above-described embodiment within the scope of the invention, revises, replace and modification.
Claims (10)
1. based on a micro spectrometer for high in the clouds spectra database, it is characterized in that, comprising:
Power supply;
Light source, described light source is connected with described power supply;
Spectroscopic imaging module, described spectroscopic imaging module is positioned at the downstream of described light source and mates with described light source, for the spectral information collecting sample;
Control module, described control module and described spectroscopic imaging model calling are to obtain the spectral information of described sample;
Communication module, described communication module is connected with described control module; And
There is the intelligent mobile terminal of display module, described intelligent mobile terminal is connected to communicate with described control module with described communication module, described intelligent mobile terminal is suitable for being connected with the high in the clouds processor including spectra database, on the processor of described high in the clouds, the spectral information of described sample and described spectra database contrast, and the result of contrast is presented on the described display module of described intelligent mobile terminal.
2. the micro spectrometer based on high in the clouds spectra database according to claim 1, is characterized in that, comprises the memory module be connected with described control module further.
3. the micro spectrometer based on high in the clouds spectra database according to claim 1, it is characterized in that, comprise the environmental sensor module be connected with described control module further, described environmental sensor module comprises at least one in temperature sensor and humidity sensor.
4. the micro spectrometer based on high in the clouds spectra database according to any one of claim 1-3, it is characterized in that, described spectroscopic imaging module comprises spectral module and image-forming module, described spectral module comprises adjustable linear filter (LVF) or method boolean POLO interference piece (FPI), and being positioned at the microlens array in described adjustable linear filter (LVF) or described method boolean POLO interference piece (FPI) downstream, described image-forming module is connected with described control module.
5. the micro spectrometer based on high in the clouds spectra database according to claim 4, is characterized in that, described communication module comprises the one in USB interface, blue tooth interface and wireless network interface.
6. a spectral method of detection, is characterized in that, comprises the following steps:
S1: irradiate sample and obtain the spectral information of described sample;
S2: mate with local spectra database, if the match is successful, show matching result by intelligent mobile terminal, if the match is successful, after being mated with the cloud database of high in the clouds processor by intelligent mobile terminal, described intelligent mobile terminal shows matching result.
7. spectral method of detection according to claim 6, is characterized in that, irradiating sample and obtaining in the process of the spectral information of described sample, by multiple repairing weld, obtains the averaged spectrum of sample, to obtain the spectral information of described sample.
8. spectral method of detection according to claim 6, is characterized in that, after obtaining the spectral information of described sample, mates after the control module pre-service of micro spectrometer with local spectra database again.
9. spectral method of detection according to claim 6, is characterized in that, while being undertaken mating by intelligent mobile terminal and cloud database, intelligent mobile terminal sends local positional information, environmental information and user profile to high in the clouds processor.
10. spectral method of detection according to claim 6, is characterized in that, described high in the clouds processor comprises spectrum memory module, policy store module and the control be connected respectively with described spectrum memory module, described policy store module and processing unit.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510519894.XA CN105136742A (en) | 2015-08-21 | 2015-08-21 | Cloud spectrum database-based miniature spectrometer and spectrum detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510519894.XA CN105136742A (en) | 2015-08-21 | 2015-08-21 | Cloud spectrum database-based miniature spectrometer and spectrum detection method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105136742A true CN105136742A (en) | 2015-12-09 |
Family
ID=54722169
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510519894.XA Pending CN105136742A (en) | 2015-08-21 | 2015-08-21 | Cloud spectrum database-based miniature spectrometer and spectrum detection method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105136742A (en) |
Cited By (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105527245A (en) * | 2015-12-31 | 2016-04-27 | 深圳市芭田生态工程股份有限公司 | Spectroscopic detector testing system and detector using spectroscopic detector testing system |
CN105548069A (en) * | 2015-12-31 | 2016-05-04 | 深圳市芭田生态工程股份有限公司 | Detecting system of wireless spectrum detector and detector with the same |
CN105675537A (en) * | 2015-12-31 | 2016-06-15 | 深圳市芭田生态工程股份有限公司 | Spectrum detection system and wireless data connection adopted spectrum detector thereof |
CN105847411A (en) * | 2016-05-10 | 2016-08-10 | 大连理工大学 | Crop insect disease detection system |
CN105973837A (en) * | 2016-05-13 | 2016-09-28 | 深圳市比特原子科技有限公司 | Detecting method and detecting system of organic matter |
CN106124424A (en) * | 2016-06-22 | 2016-11-16 | 北京谱芸科技有限责任公司 | Milk powder type identifier system |
CN106124419A (en) * | 2016-06-22 | 2016-11-16 | 北京谱芸科技有限责任公司 | Milk powder type identifier device and milk powder type identifier system |
CN106814042A (en) * | 2017-01-23 | 2017-06-09 | 清华大学 | Spectra collection and analysis system and its control method |
CN106990060A (en) * | 2017-03-24 | 2017-07-28 | 四川碧朗科技有限公司 | Water quality index monitor, cloud data center and system, Forecasting Methodology and water sample recognition methods |
CN107860473A (en) * | 2017-10-25 | 2018-03-30 | 暨南大学 | A kind of intelligent handhold spectrometer based on cloud data |
CN108169132A (en) * | 2017-12-28 | 2018-06-15 | 中山大学 | The spectrum data processing method and system of a kind of micro spectrometer |
CN108235763A (en) * | 2017-12-20 | 2018-06-29 | 深圳达闼科技控股有限公司 | Detecting system, method and relevant apparatus |
CN108323234A (en) * | 2017-12-27 | 2018-07-24 | 深圳达闼科技控股有限公司 | A kind of detection method, detection device and server |
CN108387550A (en) * | 2018-02-10 | 2018-08-10 | 云南小宝科技有限公司 | Portable near infrared spectrum detection method based on MEMS, device and system |
CN108401440A (en) * | 2017-08-21 | 2018-08-14 | 深圳前海达闼云端智能科技有限公司 | A kind of substance detecting method and its device, detection terminal |
CN108780488A (en) * | 2018-03-22 | 2018-11-09 | 深圳达闼科技控股有限公司 | The upload of substance detection information and the determination method, system and device of upload permissions |
CN109211783A (en) * | 2017-07-04 | 2019-01-15 | 上海光音照明技术有限公司 | A kind of spectrum acquisition methods |
CN109459413A (en) * | 2017-09-06 | 2019-03-12 | 群燿科技股份有限公司 | Optical detection device and optical detection system |
WO2019104487A1 (en) * | 2017-11-28 | 2019-06-06 | 深圳达闼科技控股有限公司 | Mixture detection method and device |
CN110220844A (en) * | 2018-03-02 | 2019-09-10 | 谱钜科技股份有限公司 | Spectrometer device, mobile device, spectrometer system and its operating method |
CN110455408A (en) * | 2019-09-20 | 2019-11-15 | 广州星博科仪有限公司 | A kind of portable spectrum camera and control method of intelligent terminal control |
CN111141680A (en) * | 2020-02-28 | 2020-05-12 | 无锡商测检测技术有限公司 | Photoelectric direct-reading spectrometer and measurement and analysis system thereof |
CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
CN113811880A (en) * | 2019-06-07 | 2021-12-17 | 巴斯夫涂料有限公司 | Device and method for forming at least one ground truth database for an object recognition system |
CN113834796A (en) * | 2021-08-31 | 2021-12-24 | 广东弓叶科技有限公司 | Material testing method capable of testing transparent and non-transparent materials |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1811381A (en) * | 2006-01-24 | 2006-08-02 | 天津大学 | Spectrograph based on LVF |
US20120081695A1 (en) * | 2010-09-29 | 2012-04-05 | Booz, Allen & Hamilton | Mobile phone hyperspectral imager with single-frame spatial, spectral and polarization information |
CN103076310A (en) * | 2012-12-28 | 2013-05-01 | 深圳大学 | Spectrum detection system for material component analysis and detection method thereof |
CN103411676A (en) * | 2013-01-21 | 2013-11-27 | 中国计量学院 | Color measurement instrument for measuring object color by use of linear variable filter |
CN103604423A (en) * | 2013-11-22 | 2014-02-26 | 中国科学院南京地理与湖泊研究所 | Remote-sensing wild automatic monitoring system and method for shallow lakes |
CN203573149U (en) * | 2013-11-07 | 2014-04-30 | 北京联合大学 | Intelligent environment monitoring device |
CN103837518A (en) * | 2012-11-20 | 2014-06-04 | 福州高意通讯有限公司 | Raman substance recognition platform based on cloud computing |
CN103888526A (en) * | 2014-03-13 | 2014-06-25 | 无锡香象生物科技有限公司 | Frequency stabilization laser detection drug and food genetic map management system based on internet of things |
CN104007097A (en) * | 2014-04-23 | 2014-08-27 | 厦门大学 | Raman spectrometer in wireless interconnection with bluetooth intelligent terminal equipment |
CN104198462A (en) * | 2014-09-11 | 2014-12-10 | 中国科学院重庆绿色智能技术研究院 | Raman spectrometer with positioning function |
CN104237139A (en) * | 2014-09-03 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Method, device and system for detecting food |
CN104266756A (en) * | 2014-10-10 | 2015-01-07 | 中国电子科技集团公司第四十一研究所 | Broadband infrared scanning beam split device and calibrating method |
CN104797911A (en) * | 2012-11-13 | 2015-07-22 | Jds尤尼弗思公司 | Portable spectrometer |
-
2015
- 2015-08-21 CN CN201510519894.XA patent/CN105136742A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1811381A (en) * | 2006-01-24 | 2006-08-02 | 天津大学 | Spectrograph based on LVF |
US20120081695A1 (en) * | 2010-09-29 | 2012-04-05 | Booz, Allen & Hamilton | Mobile phone hyperspectral imager with single-frame spatial, spectral and polarization information |
CN104797911A (en) * | 2012-11-13 | 2015-07-22 | Jds尤尼弗思公司 | Portable spectrometer |
CN103837518A (en) * | 2012-11-20 | 2014-06-04 | 福州高意通讯有限公司 | Raman substance recognition platform based on cloud computing |
CN103076310A (en) * | 2012-12-28 | 2013-05-01 | 深圳大学 | Spectrum detection system for material component analysis and detection method thereof |
CN103411676A (en) * | 2013-01-21 | 2013-11-27 | 中国计量学院 | Color measurement instrument for measuring object color by use of linear variable filter |
CN203573149U (en) * | 2013-11-07 | 2014-04-30 | 北京联合大学 | Intelligent environment monitoring device |
CN103604423A (en) * | 2013-11-22 | 2014-02-26 | 中国科学院南京地理与湖泊研究所 | Remote-sensing wild automatic monitoring system and method for shallow lakes |
CN103888526A (en) * | 2014-03-13 | 2014-06-25 | 无锡香象生物科技有限公司 | Frequency stabilization laser detection drug and food genetic map management system based on internet of things |
CN104007097A (en) * | 2014-04-23 | 2014-08-27 | 厦门大学 | Raman spectrometer in wireless interconnection with bluetooth intelligent terminal equipment |
CN104237139A (en) * | 2014-09-03 | 2014-12-24 | 百度在线网络技术(北京)有限公司 | Method, device and system for detecting food |
CN104198462A (en) * | 2014-09-11 | 2014-12-10 | 中国科学院重庆绿色智能技术研究院 | Raman spectrometer with positioning function |
CN104266756A (en) * | 2014-10-10 | 2015-01-07 | 中国电子科技集团公司第四十一研究所 | Broadband infrared scanning beam split device and calibrating method |
Cited By (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105527245A (en) * | 2015-12-31 | 2016-04-27 | 深圳市芭田生态工程股份有限公司 | Spectroscopic detector testing system and detector using spectroscopic detector testing system |
CN105548069A (en) * | 2015-12-31 | 2016-05-04 | 深圳市芭田生态工程股份有限公司 | Detecting system of wireless spectrum detector and detector with the same |
CN105675537A (en) * | 2015-12-31 | 2016-06-15 | 深圳市芭田生态工程股份有限公司 | Spectrum detection system and wireless data connection adopted spectrum detector thereof |
CN105847411A (en) * | 2016-05-10 | 2016-08-10 | 大连理工大学 | Crop insect disease detection system |
CN105973837A (en) * | 2016-05-13 | 2016-09-28 | 深圳市比特原子科技有限公司 | Detecting method and detecting system of organic matter |
CN106124419A (en) * | 2016-06-22 | 2016-11-16 | 北京谱芸科技有限责任公司 | Milk powder type identifier device and milk powder type identifier system |
CN106124424A (en) * | 2016-06-22 | 2016-11-16 | 北京谱芸科技有限责任公司 | Milk powder type identifier system |
CN106814042A (en) * | 2017-01-23 | 2017-06-09 | 清华大学 | Spectra collection and analysis system and its control method |
CN106990060A (en) * | 2017-03-24 | 2017-07-28 | 四川碧朗科技有限公司 | Water quality index monitor, cloud data center and system, Forecasting Methodology and water sample recognition methods |
CN106990060B (en) * | 2017-03-24 | 2018-08-03 | 四川碧朗科技有限公司 | Water quality index monitor, cloud data center and system, prediction technique and water sample recognition methods |
CN109211783A (en) * | 2017-07-04 | 2019-01-15 | 上海光音照明技术有限公司 | A kind of spectrum acquisition methods |
CN108401440A (en) * | 2017-08-21 | 2018-08-14 | 深圳前海达闼云端智能科技有限公司 | A kind of substance detecting method and its device, detection terminal |
WO2019036849A1 (en) * | 2017-08-21 | 2019-02-28 | 深圳前海达闼云端智能科技有限公司 | Substance detection method, device thereof, and detection terminal |
CN109459413A (en) * | 2017-09-06 | 2019-03-12 | 群燿科技股份有限公司 | Optical detection device and optical detection system |
CN107860473A (en) * | 2017-10-25 | 2018-03-30 | 暨南大学 | A kind of intelligent handhold spectrometer based on cloud data |
JP2020503496A (en) * | 2017-11-28 | 2020-01-30 | 深▲せん▼達闥科技控股有限公司Cloudminds(Shenzhen)Holdings Co.,Ltd. | Mixture detection method and device |
WO2019104487A1 (en) * | 2017-11-28 | 2019-06-06 | 深圳达闼科技控股有限公司 | Mixture detection method and device |
US10801951B2 (en) | 2017-11-28 | 2020-10-13 | Cloudminds (Shenzhen) Holdings Co., Ltd. | Mixture detection method and device |
WO2019119322A1 (en) * | 2017-12-20 | 2019-06-27 | 深圳达闼科技控股有限公司 | Test system and method, and related device |
CN108235763A (en) * | 2017-12-20 | 2018-06-29 | 深圳达闼科技控股有限公司 | Detecting system, method and relevant apparatus |
CN108323234A (en) * | 2017-12-27 | 2018-07-24 | 深圳达闼科技控股有限公司 | A kind of detection method, detection device and server |
CN108169132A (en) * | 2017-12-28 | 2018-06-15 | 中山大学 | The spectrum data processing method and system of a kind of micro spectrometer |
CN108387550A (en) * | 2018-02-10 | 2018-08-10 | 云南小宝科技有限公司 | Portable near infrared spectrum detection method based on MEMS, device and system |
CN110220844A (en) * | 2018-03-02 | 2019-09-10 | 谱钜科技股份有限公司 | Spectrometer device, mobile device, spectrometer system and its operating method |
CN108780488A (en) * | 2018-03-22 | 2018-11-09 | 深圳达闼科技控股有限公司 | The upload of substance detection information and the determination method, system and device of upload permissions |
CN108780488B (en) * | 2018-03-22 | 2023-05-05 | 北京云端光科技术有限公司 | Method, system and device for determining uploading permission of substance detection information |
CN113811880A (en) * | 2019-06-07 | 2021-12-17 | 巴斯夫涂料有限公司 | Device and method for forming at least one ground truth database for an object recognition system |
CN110455408A (en) * | 2019-09-20 | 2019-11-15 | 广州星博科仪有限公司 | A kind of portable spectrum camera and control method of intelligent terminal control |
CN111141680A (en) * | 2020-02-28 | 2020-05-12 | 无锡商测检测技术有限公司 | Photoelectric direct-reading spectrometer and measurement and analysis system thereof |
CN113791050A (en) * | 2021-08-31 | 2021-12-14 | 广东弓叶科技有限公司 | Material analysis method and system based on spectral analysis |
CN113834796A (en) * | 2021-08-31 | 2021-12-24 | 广东弓叶科技有限公司 | Material testing method capable of testing transparent and non-transparent materials |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105136742A (en) | Cloud spectrum database-based miniature spectrometer and spectrum detection method | |
EP2587237B1 (en) | Raman spectrum detection system with automatic calibration device | |
US20140232859A1 (en) | Measuring system and method for marking a known target point in a coordinate system | |
RU2014145227A (en) | SYSTEM AND METHOD OF DIRECT REMOTE RESEARCH OF MATERIAL OBJECTIVES | |
CN105683724A (en) | Systems and methods for measuring and categorizing colors and spectra of surfaces | |
CN101813558A (en) | Device for measuring modulation transfer function of optical system and method thereof | |
CN106872442A (en) | A kind of MEMS Miniature Raman spectrometers | |
CN107064126B (en) | Organophosphorus pesticide residue rapid detection device | |
CN205484071U (en) | Test paper detection device | |
CN106886027B (en) | Laser positioning device and laser positioning method | |
CN104535526A (en) | Linear gradual filter type handheld intelligent spectrometer based on microcomputer Edison | |
WO2020117947A1 (en) | System and methods of fluorescence microscope calibration | |
WO2016137317A1 (en) | An infrared sensor unit, a method and a computer program product | |
CN102778202A (en) | Device and method used for measuring film thickness | |
CN104198462A (en) | Raman spectrometer with positioning function | |
CN104007094A (en) | Blade active and inactive chlorophyll fluorescence long-time-series cooperative observation system | |
EP3363268B1 (en) | Lighting arrangement, computer program product, mobile communication device and lighting system | |
CN115902685B (en) | Optical test system special for navigation mark lamp | |
JP6061031B2 (en) | Spectroscopic analysis system and method | |
CN103528966A (en) | Spectrum collection method and spectrum collection method for organic matters of soil depth cylindrical surface | |
CN103792072A (en) | System and method for testing light diffusion value of automatic variable light welding goggles | |
KR101558737B1 (en) | Beam alignment apparatus for off-axis cavity spectroscopy and method thereof | |
CN207318344U (en) | A kind of self-starting spectrophotometer | |
CN207020083U (en) | A kind of MEMS Miniature Raman spectrometers | |
CN209878988U (en) | Movable laser radar quality control device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151209 |