CN211627363U - Intelligent network type infrared gas identification equipment - Google Patents
Intelligent network type infrared gas identification equipment Download PDFInfo
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- CN211627363U CN211627363U CN201920894674.9U CN201920894674U CN211627363U CN 211627363 U CN211627363 U CN 211627363U CN 201920894674 U CN201920894674 U CN 201920894674U CN 211627363 U CN211627363 U CN 211627363U
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Abstract
The utility model relates to a gaseous analysis detects technical field, in particular to infrared gas identification equipment. An intelligent network type infrared gas identification device comprising: the system comprises an infrared lens, an infrared detector, a detector interface module, an imaging circuit module, an ARM control and transmission module and a remote center workstation; the imaging circuit module includes: the device comprises an AD acquisition sub-module, a FLASH storage sub-module, an FPGA sub-module and a communication interface sub-module; the infrared lens and the infrared detector are used for providing an original image, the AD acquisition submodule converts the original image and transmits the converted original image to the FPGA submodule, the FPGA submodule corrects the original data and processes the corrected data to obtain an infrared image containing gas characteristic information, and meanwhile, whether gas leaks or not and a leakage area are judged; after leakage occurs, the FPGA submodule sends the infrared image, the leakage position information and the alarm signal to the remote center workstation through the ARM control and transmission module. The utility model provides a specific gaseous solution of remote monitoring.
Description
Technical Field
The utility model relates to a gaseous analysis detects technical field, in particular to infrared gas identification equipment.
Background
With the development of economic globalization, environmental problems such as air pollution, haze and the like become more serious, and the harm of toxic and harmful hazardous gases to human beings also draws more and more attention. Mine gas, CO in industry and coal gas in daily life are easy to explode and harm human health, so that detection of harmful gas is necessary.
The infrared absorption spectrometry is a commonly used gas identification and detection technology at present, and when gas leakage occurs in a scene, a gas leakage area is obviously darkened during final imaging due to the absorption effect of the gas on infrared rays with specific wavelengths, so that a gas leakage image is represented. Because the gas that detects has characteristics such as inflammable and explosive, consequently need consider the remote control function of check out test set in order to guarantee personnel's safety.
SUMMERY OF THE UTILITY MODEL
The utility model aims at: in order to facilitate the remote monitoring of a gas leakage site by an operator, the infrared gas identification device which can carry out infrared imaging on specific gas and has a remote real-time detection function is provided.
The utility model discloses a technical scheme is: an intelligent network type infrared gas identification device, comprising: the system comprises an infrared lens, an infrared detector, a detector interface module, an imaging circuit module, an ARM control and transmission module and a remote center workstation;
the infrared lens is made of germanium materials, and is coated with an antireflection film on the surface and covers medium-wave infrared waves with the wave band of 3.2-3.4 microns;
the infrared detector adopts a narrow-band tellurium-cadmium-mercury medium-wave Stirling refrigeration infrared detector, and a detector window and a focal plane photosensitive band cover a band of 3.2-3.4 mu m;
the imaging circuit module is used for completing time sequence configuration of an infrared detector, AD acquisition, preprocessing of an original image, gas characteristic image detail enhancement processing, gas image detection and alarm processing, image data format conversion and transmission, sending and analyzing of a control instruction and gas image detection parameter configuration; the imaging circuit module includes: the device comprises an AD acquisition sub-module, a FLASH storage sub-module, an FPGA sub-module and a communication interface sub-module; the FPGA submodule is respectively in signal connection with the AD acquisition submodule, the FLASH storage submodule and the communication interface submodule;
the infrared lens is in signal connection with the infrared detector and is used for providing an original image; the infrared detector is in signal connection with the AD acquisition submodule through the detector interface module, the communication interface submodule is in signal connection with the ARM control and transmission module, and the ARM control and transmission module is in communication connection with the remote center workstation through a network.
After the identification equipment is powered on, the AD acquisition submodule receives original image analog data transmitted by the detector interface module, converts the analog data into digital data and transmits the digital data to the FPGA submodule, the FPGA submodule receives the original data, corrects the original data and stores the corrected data in the FLASH storage submodule; the FPGA submodule further processes the correction data to obtain an infrared image containing gas characteristic information, and meanwhile, whether gas leaks or not and a leakage area are qualitatively judged; after leakage occurs, the FPGA submodule sends the infrared image, the leakage position information and the alarm signal to the ARM control and transmission module through the communication interface submodule; the ARM control and transmission module sends the infrared image and the leakage position information to a remote center workstation through a network and outputs local alarm information to the outside; and the remote central workstation displays the received infrared image and the leakage position information in real time.
In the above scheme, specifically, the resolution of the infrared detector is not lower than 320 × 256, the pixel size is 30 μm, and the F number is 1.5.
Further, on the basis of the above scheme, the identification device further includes: a holder; the infrared lens, the infrared detector, the detector interface module, the imaging circuit module and the ARM control and transmission module are all arranged on the holder; the remote central workstation issues a steering instruction for controlling the holder through the ARM control and transmission module, and the ARM control and transmission module analyzes the steering instruction and controls the rotation of the holder through an opening so as to achieve the purpose of remotely controlling the imaging angle.
Furthermore, on the basis of the scheme, the remote central workstation can be used for configuring parameters such as working exposure, image resolution and the like of the infrared detector, and the configuration instruction is sequentially sent to the infrared detector through the ARM control and transmission module, the imaging circuit module and the detector interface module.
The utility model discloses a another technical scheme is: an operating method of an intelligent network type infrared gas identification device, which uses the intelligent network type infrared gas identification device, comprises the following steps:
A. the identification device is powered on, the infrared detector starts an internal refrigerator, and when the refrigerator reaches a set temperature, the FPGA submodule starts time sequence control to provide a clock, integration time and working parameters for the infrared detector;
B. the infrared detector transmits an original image to the imaging circuit module through the detector interface module, the AD acquisition sub-module performs analog-to-digital conversion on the original image and then transmits the original image to the FPGA sub-module, and the FPGA sub-module performs preprocessing on the original image to obtain a corrected image and then stores the corrected image to the FLASH storage sub-module;
C. the FPGA submodule calls a correction image in the FLASH storage submodule and performs post-processing on the correction image to obtain an infrared image with a pseudo-color gas area and enhanced contrast;
D. the FPGA submodule judges whether gas leakage exists in the infrared image or not according to an image difference enhancement algorithm, and if the gas leakage exists, the FPGA submodule further distinguishes a leakage position; when leakage exists, the FPGA submodule sends the infrared image, the leakage position information and the alarm signal to the ARM control and transmission module through the communication interface submodule;
E. the ARM control and transmission module sends the infrared image and the leakage position information to a remote center workstation through a network and outputs local alarm information to the outside;
F. and the remote central workstation displays the received infrared image and the leakage position information in real time.
Specifically, in the step B, the method for preprocessing the original image by the FPGA sub-module is non-uniform correction and blind pixel compensation.
Specifically, in step C, the method for performing post-processing on the corrected image includes: the FPGA submodule calls the correction data in the FLASH storage submodule to divide the correction image into two paths for post-processing; performing detail enhancement on the gas image in one path, obtaining a high-frequency component and a low-frequency component of the gas image by adopting a bilateral filtering algorithm, wherein the high-frequency component corresponds to detail information, the low-frequency component corresponds to background information, performing detail preservation operation on the high-frequency component, performing histogram equalization on the low-frequency component, and weighting the result, thereby obtaining an image P which retains detail information and enhances contrast1(ii) a The other path calculates the local variance and the global variance, compares the local variance with the global variance to obtain a gas leakage area, enhances the gas leakage area by utilizing an interframe difference algorithm, adds pseudo colors to the gas leakage area, does not add pseudo colors to other areas, and obtains an image P only with the gas area as the pseudo colors2(ii) a Image P1Image P2Weighting the pseudo-color part image P2Pixel value, other part using image P1Pixel values, thereby obtaining an infrared image.
Has the advantages that: the utility model discloses a narrow band tellurium cadmium mercury stirling refrigeration type detector of high sensitivity, the wave band covers 3.2 mu m ~3.4 mu m, detectable alkane gas and other characteristic absorption peak gas in this wave band, after taking place to leak, equipment adopts the network transmission mode, transmits infrared image to the network, makes operating personnel can the remote monitoring gas leak the scene; the utility model provides a high reliable, high sensitivity, the specific gaseous solution of remote monitoring can be applied to the field of all-weather automatic monitoring gas leakage hidden danger.
Drawings
Fig. 1 is a block diagram of the embodiment 1 of the present invention;
fig. 2 is a block diagram of embodiment 2 of the present invention;
in the figure: the system comprises a 1-infrared lens, a 2-infrared detector, a 3-detector interface module, a 4-imaging circuit module, a 4.1-AD acquisition sub-module, a 4.2-FLASH storage sub-module, a 4.3-FPGA sub-module, a 4.4-communication interface sub-module, a 5-ARM control and transmission module, a 6-cloud deck and a 7-remote central workstation.
Detailed Description
Embodiment 1, referring to fig. 1, an intelligent network type infrared gas recognition apparatus includes: the system comprises an infrared lens 1, an infrared detector 2, a detector interface module 3, an imaging circuit module 4, an ARM control and transmission module 5 and a remote center workstation 7;
the infrared lens 1 is made of germanium materials, and is coated with an antireflection film on the surface and covers medium-wave infrared waves with the wave band of 3.2-3.4 microns;
the infrared detector 2 adopts a narrow-band tellurium-cadmium-mercury medium-wave Stirling refrigeration infrared detector, and the detector window and the focal plane photosensitive band cover 3.2-3.4 mu m bands; in this example, the resolution of the infrared detector 2 is not lower than 320 × 256, the pixel size is 30 μm, and the F number is 1.5;
the imaging circuit module 4 is used for completing time sequence configuration of the infrared detector 2, AD acquisition, preprocessing of an original image, gas characteristic image detail enhancement processing, gas image detection and alarm processing, image data format conversion and transmission, sending and analysis of a control instruction and gas image detection parameter configuration; the imaging circuit module 4 includes: an AD acquisition sub-module 4.1, a FLASH storage sub-module 4.2, an FPGA sub-module 4.3 and a communication interface sub-module 4.4; the FPGA submodule 4.3 is in signal connection with the AD acquisition submodule 4.1, the FLASH storage submodule 4.2 and the communication interface submodule 4.4 respectively;
the infrared lens 1 is in signal connection with the infrared detector 2 and is used for providing an original image; the infrared detector 2 is in signal connection with the AD acquisition submodule 4.1 through the detector interface module 3, the communication interface submodule 4.4 is in signal connection with the ARM control and transmission module 5, and the ARM control and transmission module 5 is in communication connection with the remote center workstation 7 through a network.
After the identification equipment is powered on, the AD acquisition submodule 4.1 receives 4 paths of analog output original image data transmitted by the detector interface module 3, converts the analog data into 16-bit digital data and transmits the 16-bit digital data to the FPGA submodule 4.3, the FPGA submodule 4.3 finishes receiving the original data, corrects the original data and stores the corrected data in the FLASH storage submodule 4.2; the FPGA submodule 4.3 further processes the correction data to obtain an infrared image containing gas characteristic information, and simultaneously qualitatively judges whether the gas leaks and a leakage area; after leakage occurs, the FPGA submodule 4.3 sends the infrared image, the leakage position information and the alarm signal to the ARM control and transmission module 5 through the communication interface submodule 4.4; the ARM control and transmission module 5 sends the infrared image and the leakage position information to a remote center workstation 7 through a network, and simultaneously outputs local alarm information to the outside; the remote center workstation 7 displays the received infrared image and the leakage position information in real time.
In this example, the remote central workstation 7 can also be used to configure parameters such as working exposure and image resolution of the infrared detector 2, and the configuration instruction is sent to the infrared detector 2 sequentially through the ARM control and transmission module 5, the imaging circuit module 4 and the detector interface module 3.
Embodiment 2, referring to fig. 2, on the basis of embodiment 1, in order to facilitate remote control of the imaging angle, the above-mentioned recognition apparatus further includes: a holder 6; the infrared lens 1, the infrared detector 2, the detector interface module 3, the imaging circuit module 4 and the ARM control and transmission module 5 are all arranged on the cloud deck 6; the remote central workstation 7 issues a steering instruction for controlling the pan/tilt head 6 through the ARM control and transmission module 5, and the ARM control and transmission module 5 analyzes the steering instruction and controls the rotation of the pan/tilt head 6 through an opening.
Embodiment 3 is a method for operating an intelligent network type infrared gas recognition apparatus, which is based on the intelligent network type infrared gas recognition apparatus described in embodiment 1 or 2, and includes the steps of:
A. the identification device is powered on, the infrared detector 2 starts an internal refrigerator, and when the refrigerator reaches a set temperature, the FPGA submodule 4.3 starts time sequence control to provide a clock, integration time and working parameters for the infrared detector 2;
B. the infrared detector 2 transmits an original image to the imaging circuit module 4 through the detector interface module 3, the AD acquisition sub-module 4.1 performs analog-to-digital conversion on the original image and then transmits the original image to the FPGA sub-module 4.3, and the FPGA sub-module 4.3 performs preprocessing on the original image to obtain a corrected image and then stores the corrected image to the FLASH storage sub-module 4.2;
C. the FPGA submodule 4.3 calls a correction image in the FLASH storage submodule 4.2, and performs post-processing on the correction image to obtain an infrared image with a pseudo-color gas area and enhanced contrast;
D. the FPGA submodule 4.3 judges whether gas leakage exists in the infrared image or not according to an image difference enhancement algorithm, and if the gas leakage exists, the FPGA submodule 4.3 further distinguishes a leakage position; when leakage exists, the FPGA submodule 4.3 sends the infrared image, the leakage position information and the alarm signal to the ARM control and transmission module 5 through the communication interface submodule 4.4;
E. the ARM control and transmission module 5 sends the infrared image and the leakage position information to a remote center workstation 7 through a network, and simultaneously outputs local alarm information to the outside;
F. the remote center workstation 7 displays the received infrared image and the leakage position information in real time.
in the step B, the method for preprocessing the original image by the FPGA submodule 4.3 is non-uniform correction and blind pixel compensation.
In the step C, the method for performing post-processing on the corrected image comprises: the FPGA submodule 4.3 calls the correction data in the FLASH storage submodule 4.2 to divide the corrected image into two paths for post-processing; performing detail enhancement on the gas image in one path, obtaining a high-frequency component and a low-frequency component of the gas image by adopting a bilateral filtering algorithm, wherein the high-frequency component corresponds to detail information, the low-frequency component corresponds to background information, performing detail retaining operation on the high-frequency component, performing histogram equalization on the low-frequency component, and weighting the result to obtain the resultImage P with both retention of detail information and contrast enhancement1(ii) a The other path calculates the local variance and the global variance, compares the local variance with the global variance to obtain a gas leakage area, enhances the gas leakage area by utilizing an interframe difference algorithm, adds pseudo colors to the gas leakage area, does not add pseudo colors to other areas, and obtains an image P only with the gas area as the pseudo colors2(ii) a Image P1Image P2Weighting the pseudo-color part image P2Pixel value, other part using image P1Pixel values, thereby obtaining an infrared image.
Although the invention has been described in detail with respect to the general description and the specific embodiments, it will be apparent to those skilled in the art that modifications and improvements can be made based on the invention. Therefore, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (1)
1. An intelligent network type infrared gas identification device, comprising: infrared camera lens (1), infrared detector (2), detector interface module (3), imaging circuit module (4), ARM control and transmission module (5), remote center workstation (7) and cloud platform (6), its characterized in that:
the infrared lens (1) is made of germanium materials, and is coated with an antireflection film on the surface and covers medium-wave infrared waves with the wave band of 3.2-3.4 microns;
the infrared detector (2) adopts a narrow-band tellurium-cadmium-mercury medium-wave Stirling refrigeration infrared detector, and the detector window and the focal plane photosensitive band cover a band of 3.2-3.4 mu m; the resolution of the infrared detector (2) is not lower than 320 multiplied by 256, the pixel size is 30 mu m, and the F number is 1.5;
the imaging circuit module (4) includes: the device comprises an AD acquisition sub-module (4.1), a FLASH storage sub-module (4.2), an FPGA sub-module (4.3) and a communication interface sub-module (4.4); the FPGA submodule (4.3) is respectively in signal connection with the AD acquisition submodule (4.1), the FLASH storage submodule (4.2) and the communication interface submodule (4.4);
the infrared camera lens (1) is in signal connection with the infrared detector (2), the infrared detector (2) is in signal connection with the AD acquisition sub-module (4.1) through the detector interface module (3), the communication interface sub-module (4.4) is in signal connection with the ARM control and transmission module (5), and the ARM control and transmission module (5) is in communication connection with the remote center workstation (7) through a network;
the infrared lens (1), the infrared detector (2), the detector interface module (3), the imaging circuit module (4) and the ARM control and transmission module (5) are all arranged on the cradle head (6); and the remote central workstation (7) issues a steering instruction for controlling the holder (6) through the ARM control and transmission module (5).
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| CN201920894674.9U CN211627363U (en) | 2019-06-14 | 2019-06-14 | Intelligent network type infrared gas identification equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110186865A (en) * | 2019-06-14 | 2019-08-30 | 利卓创新（北京）科技有限公司 | A kind of Intelligent network-type infrared-gas identification equipment and working method |
| CN112672081A (en) * | 2020-12-02 | 2021-04-16 | 北京智慧共享技术服务有限公司 | Artificial intelligence online industrial gas leakage imaging monitoring system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110186865A (en) * | 2019-06-14 | 2019-08-30 | 利卓创新（北京）科技有限公司 | A kind of Intelligent network-type infrared-gas identification equipment and working method |
| CN110186865B (en) * | 2019-06-14 | 2023-09-19 | 利卓创新（北京）科技有限公司 | Intelligent network type infrared gas identification equipment and working method |
| CN112672081A (en) * | 2020-12-02 | 2021-04-16 | 北京智慧共享技术服务有限公司 | Artificial intelligence online industrial gas leakage imaging monitoring system |
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