CN104079895A - Storage tank liquid level detection system and method - Google Patents
Storage tank liquid level detection system and method Download PDFInfo
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- CN104079895A CN104079895A CN201410355018.3A CN201410355018A CN104079895A CN 104079895 A CN104079895 A CN 104079895A CN 201410355018 A CN201410355018 A CN 201410355018A CN 104079895 A CN104079895 A CN 104079895A
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Abstract
The invention discloses a storage tank liquid level detection system and method. The detection system comprises at least one front end monitoring module and a control center, wherein the front end monitoring module comprises a plurality of infrared sensing modules, a cradle head, a video encoder and a video server; the infrared sensing modules are connected with the cradle head, and are connected with the video server through the video encoder; the video server is connected with the control center through a network. According to the invention, image data is detected through the infrared sensing modules, video coding is performed on image information through the video coding module, and then video signal is transmitted to the control center through the video server, so that real-time detection of the storage tank liquid level is realized. The storage tank liquid level detection system and method can realize reliable and accurate detection of storage tank liquid level.
Description
Technical field
The present invention relates to liquid in storage tank and detect, relate in particular to a kind of a kind of tank level detection system and method for utilizing infrared thermal imaging technique.
Background technology
Some inflammable and explosive raw materials often of oil storage tank carrying, this has brought huge challenge to the safe handling of oil tank, add oil tank place to use majority more severe, therefore must there is detailed record to the raw material reserves in storage tank, China generally adopts automatic measuring system to measure liquid level at present, but it is not high to exist certainty of measurement, the problem of poor reliability, once liquid level gauge is malfunctioning, can cause slack tank and canful, make to produce unexpected interruption or cause storage tank to overflow accident, bring about great losses to people's the security of the lives and property, and accuracy is high, the tank gage of good reliability, exist again inconvenience is installed, problem with high costs.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of tank level detection system and the method that provide that a kind of precision is high, good reliability, simple installation, cost are low.
The object of the invention is to be achieved through the following technical solutions:
A kind of tank level detection system, comprise at least one front end monitoring modular and control centre, described front end monitoring modular comprises multiple infrared sensing modules, The Cloud Terrace, video encoder and video server, wherein, infrared sensing module is connected with The Cloud Terrace, and infrared sensing module is connected with video server by video encoder, video server is realized and being connected of control centre by network.
Described infrared sensing module comprises detector, reading circuit, picture processing chip and external memory storage, wherein, picture processing chip is connected with reading circuit by control interface, external memory storage is connected with picture processing chip by internal data bus, picture processing chip is connected with electric power system by power interface, picture processing chip is connected with video server by video interface, and reading circuit is connected with detector.
Described picture processing chip comprises that nonuniformity correction module, blind element correction module, image filtering denoising module, image detail strengthen module, pseudo-color conversion module, analog-to-digital conversion module, low noise power supply module and interface sequence control module;
Described nonuniformity correction module, proofreaies and correct thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct;
Described blind element correction module, by adopting blind element backoff algorithm, predicts and substitutes the information of blind element position according to the response correlation of neighbor or front and back two field picture;
Described image filtering denoising module, carries out denoising by Fast Median Filtering and mean filter with threshold value to thermal-induced imagery, obtains image after denoising;
Described image detail strengthens module, by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image;
Described analog-to-digital conversion module, by adopting the design architecture of pipeline ADC, realizes the simulation output high speed analog-to-digital conversion of large array;
Described low noise power supply module, by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors;
Described interface sequence control module, the method for counting frequency division by employing correctly produces three road clock signals.
The integrated Intelligent infrared thermal imager of described infrared sensing module.
A kind of tank level detection method, comprises the steps:
S1. multiple infrared sensing modules, The Cloud Terrace, video encoder and video server in front end monitoring modular are arranged on each monitoring point of storage tank;
S2. by the rotation of The Cloud Terrace, infrared sensing module is processed to storage tank detection imaging and to surveying the image obtaining, and image information after treatment is sent to video encoding module;
S3. video encoding module is carried out Video coding to the image information receiving, and obtains high-quality vision signal, outputs on video server by normal video interface;
S4. video server arrives control centre by communication network by video signal transmission.
The method that described infrared sensing module is processed image, comprises following steps:
S21. picture processing chip provides needed various control clock signal, power supply and bias voltage for detector;
S22. detector is to storage tank detection imaging within the vision, and view data is passed to picture processing chip;
S23. picture processing chip comprises that to the thermal-induced imagery of the storage tank collecting nonuniformity correction, blind element correction, image filtering denoising, image detail strengthen, the function treatment of pseudo-color conversion;
S24. picture processing chip carries out analog-to-digital conversion to the outer view data of red heat after treatment;
S25. picture processing chip is sent to video encoding module by image information after treatment through video interface.
Described picture processing chip, the method for counting frequency division by employing realizes the correct three road clock signals that produce, and by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors;
Described nonuniformity correction, realizes the correction to thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct;
Described blind element is proofreaied and correct, and by adopting blind element backoff algorithm, according to the response correlation of neighbor or front and back two field picture, the information of blind element position is predicted and is substituted;
Described image filtering denoising, realizes the denoising to thermal-induced imagery by Fast Median Filtering and mean filter with threshold value, obtains image after denoising;
Described image detail strengthens, and by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image.
Described picture processing chip, the design architecture of employing pipeline ADC, realizes the simulation of large array and exports high speed analog-to-digital conversion.
The invention has the beneficial effects as follows: by gathering the thermal-induced imagery of storage tank, can directly shoot liquid level line at outer surface, the reserves situation in storage tank is made to reflection immediately, help plant maintenance personnel to find in time out of order liquid level gauge, and there is the tank body of obvious deviation to carry out deep detection to memory capacity, avoid potential danger to get rid of incipient fault, simple in structure, volume is small and exquisite, low in energy consumption, cost is little, and temperature stability is good, is simple and easy to use.
Brief description of the drawings
Fig. 1 is the structural representation of a kind of tank level detection system of the present invention;
Fig. 2 is infrared sensing inside modules structural representation;
Fig. 3 is a kind of tank level overhaul flow chart of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail, but protection scope of the present invention is not limited to the following stated.
As shown in Figure 1, a kind of tank level detection system, comprise at least one front end monitoring modular and control centre, described front end monitoring modular comprises multiple infrared sensing modules, The Cloud Terrace, video encoder and video server, wherein, infrared sensing module is connected with The Cloud Terrace, and infrared sensing module is connected with video server by video encoder, and video server is realized and being connected of control centre by network.
As shown in Figure 2, infrared sensing module comprises detector, reading circuit, picture processing chip and external memory storage, wherein, picture processing chip is connected with reading circuit by control interface, external memory storage is connected with picture processing chip by internal data bus, picture processing chip is connected with electric power system by power interface, and picture processing chip is connected with video server by video interface, and reading circuit is connected with detector.
Described picture processing chip comprises that nonuniformity correction module, blind element correction module, image filtering denoising module, image detail strengthen module, pseudo-color conversion module, analog-to-digital conversion module, low noise power supply module and interface sequence control module; Described nonuniformity correction module, proofreaies and correct thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct;
Described blind element correction module, by adopting blind element backoff algorithm, predicts and substitutes the information of blind element position according to the response correlation of neighbor or front and back two field picture; Described image filtering denoising module, carries out denoising by Fast Median Filtering and mean filter with threshold value to thermal-induced imagery, obtains image after denoising; Described image detail strengthens module, by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image; Described analog-to-digital conversion module, by adopting the design architecture of pipeline ADC, realizes the simulation output high speed analog-to-digital conversion of large array; Described low noise power supply module, by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors; Described interface sequence control module, the method for counting frequency division by employing correctly produces three road clock signals.
As shown in Figure 3, a kind of tank level detection method, comprise the steps:
S1. multiple infrared sensing modules, The Cloud Terrace, video encoder and video server in front end monitoring modular are arranged on each monitoring point of storage tank;
S2. by the rotation of The Cloud Terrace, infrared sensing module can be carried out on a large scale detection imaging and process surveying the image obtaining storage tank, and image information after treatment is sent to video encoding module;
S3. video encoding module is carried out Video coding to the image information receiving, and obtains high-quality vision signal, outputs on video server by normal video interface;
S4. video server arrives control centre by communication network by video signal transmission.
The method that described infrared sensing module is processed image, comprises following steps:
S21. picture processing chip provides needed various control clock signal, power supply and bias voltage for detector;
S22. detector is to storage tank detection imaging within the vision, and view data is passed to picture processing chip;
S23. picture processing chip comprises that to the thermal-induced imagery of the storage tank collecting nonuniformity correction, blind element correction, image filtering denoising, image detail strengthen, the function treatment of pseudo-color conversion;
S24. picture processing chip carries out analog-to-digital conversion to the outer view data of red heat after treatment;
S25. picture processing chip is sent to video encoding module by image information after treatment through video interface;
Described picture processing chip, the method for counting frequency division by employing realizes the correct three road clock signals that produce; Described picture processing chip, by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors; Described picture processing chip, by adopting the design architecture of pipeline ADC, realizes the simulation output high speed analog-to-digital conversion of large array; Described nonuniformity correction, realizes the correction to thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct; Described blind element is proofreaied and correct, and by adopting blind element backoff algorithm, according to the response correlation of neighbor or front and back two field picture, the information of blind element position is predicted and is substituted; Described image filtering denoising, realizes the denoising to thermal-induced imagery by Fast Median Filtering and mean filter with threshold value, obtains image after denoising; Described image detail strengthens, and by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image.
In the present embodiment, the integrated Intelligent infrared thermal imager of described infrared sensing module, described infrared sensing module encapsulates by wafer scale multiple device package technology.
Claims (7)
1. a tank level detection system, it is characterized in that: comprise at least one front end monitoring modular and control centre, described front end monitoring modular comprises multiple infrared sensing modules, The Cloud Terrace, video encoder and video server, wherein, infrared sensing module is connected with The Cloud Terrace, and infrared sensing module is connected with video server by video encoder, video server is realized and being connected of control centre by network.
2. a kind of tank level detection system according to claim 1, it is characterized in that: infrared sensing module comprises detector, reading circuit, picture processing chip and external memory storage, wherein, picture processing chip is connected with reading circuit by control interface, external memory storage is connected with picture processing chip by internal data bus, picture processing chip is connected with electric power system by power interface, picture processing chip is connected with video server by video interface, and reading circuit is connected with detector.
3. a kind of tank level detection system according to claim 2, is characterized in that: described picture processing chip comprises that nonuniformity correction module, blind element correction module, image filtering denoising module, image detail strengthen module, pseudo-color conversion module, analog-to-digital conversion module, low noise power supply module and interface sequence control module;
Described nonuniformity correction module, proofreaies and correct thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct;
Described blind element correction module, by adopting blind element backoff algorithm, predicts and substitutes the information of blind element position according to the response correlation of neighbor, front and back two field picture;
Described image filtering denoising module, carries out denoising by Fast Median Filtering and mean filter with threshold value to thermal-induced imagery, obtains image after denoising;
Described image detail strengthens module, by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image;
Described analog-to-digital conversion module, by adopting the design architecture of pipeline ADC, realizes the simulation output high speed analog-to-digital conversion of large array;
Described low noise power supply module, by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors;
Described interface sequence control module, the method for counting frequency division by employing correctly produces three road clock signals.
4. a kind of tank level detection system according to claim 2, is characterized in that: the integrated Intelligent infrared thermal imager of described infrared sensing module.
5. a tank level detection method, is characterized in that: comprise the steps:
S1. multiple infrared sensing modules, The Cloud Terrace, video encoder and video server in front end monitoring modular are arranged on each monitoring point of storage tank;
S2. by the rotation of The Cloud Terrace, infrared sensing module is processed to storage tank detection imaging and to surveying the image obtaining, and image information after treatment is sent to video encoding module;
S3. video encoding module is carried out Video coding to the image information receiving, and obtains high-quality vision signal, outputs on video server by normal video interface;
S4. video server arrives control centre by communication network by video signal transmission.
6. a kind of tank level detection method according to claim 5, is characterized in that: the method that described infrared sensing module is processed image, comprises following steps:
S21. picture processing chip provides needed various control clock signal, power supply and bias voltage for detector;
S22. detector is to storage tank detection imaging within the vision, and view data is passed to picture processing chip;
S23. picture processing chip comprises that to the thermal-induced imagery of the storage tank collecting nonuniformity correction, blind element correction, image filtering denoising, image detail strengthen, the function treatment of pseudo-color conversion;
S24. picture processing chip carries out analog-to-digital conversion to the outer view data of red heat after treatment;
S25. picture processing chip is sent to video encoding module by image information after treatment through video interface.
7. picture processing chip described in, the method for counting frequency division by employing realizes the correct three road clock signals that produce, and by adopting integrated Boost control circuit, for detector provides compared with high bias voltage, realizes the high responsiveness of Infrared Detectors;
Described nonuniformity correction, realizes the correction to thermal-induced imagery by two-point method and binary nonlinear correction method, obtains the image after proofreading and correct;
Described blind element is proofreaied and correct, and by adopting blind element backoff algorithm, according to the response correlation of neighbor or front and back two field picture, the information of blind element position is predicted and is substituted;
Described image filtering denoising, realizes the denoising to thermal-induced imagery by Fast Median Filtering and mean filter with threshold value, obtains image after denoising;
Described image detail strengthens, and by adopting dual threshold mapping, dual threshold self-adaptive enhancement algorithm and edge to strengthen algorithm, the histogram of original image is processed, and realizes the enhancing function to image;
Described picture processing chip, the design architecture of employing pipeline ADC, realizes the simulation of large array and exports high speed analog-to-digital conversion.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104691949A (en) * | 2015-03-16 | 2015-06-10 | 赵盾 | Portable insulin reagent storage box |
| CN106254794A (en) * | 2016-08-16 | 2016-12-21 | 成都市和平科技有限责任公司 | A kind of infrared video transmission system and method |
| CN109660709A (en) * | 2019-01-15 | 2019-04-19 | 江苏东方赛光电有限公司 | A kind of intelligent camera of embedded liquid level real-time detection function |
| CN112000155A (en) * | 2020-07-21 | 2020-11-27 | 中国民航大学 | Liquid filling control method, device and system |
| CN115457067A (en) * | 2022-11-09 | 2022-12-09 | 乐比(广州)健康产业有限公司 | Nose-clearing and refreshing medicine liquid level detection method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201589662U (en) * | 2009-12-30 | 2010-09-22 | 哈尔滨万瑞光电仪器有限公司 | On-line monitoring system for infrared temperature field during industrial production process |
| CN101972140A (en) * | 2010-09-07 | 2011-02-16 | 航天海鹰安全技术工程有限公司 | Thermal imaging temperature monitoring device, system and method |
| CN102784451A (en) * | 2012-08-06 | 2012-11-21 | 西安硅光电子科技有限公司 | Automatic positioning flame detection system for three-dimensional space |
| CN102801912A (en) * | 2012-07-17 | 2012-11-28 | 北京伽略电子系统技术有限公司 | Infrared image processing chip and processing method |
| WO2014036133A1 (en) * | 2012-08-28 | 2014-03-06 | Delos Living Llc | Systems, methods and articles for enhancing wellness associated with habitable environments |
-
2014
- 2014-07-24 CN CN201410355018.3A patent/CN104079895A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201589662U (en) * | 2009-12-30 | 2010-09-22 | 哈尔滨万瑞光电仪器有限公司 | On-line monitoring system for infrared temperature field during industrial production process |
| CN101972140A (en) * | 2010-09-07 | 2011-02-16 | 航天海鹰安全技术工程有限公司 | Thermal imaging temperature monitoring device, system and method |
| CN102801912A (en) * | 2012-07-17 | 2012-11-28 | 北京伽略电子系统技术有限公司 | Infrared image processing chip and processing method |
| CN102784451A (en) * | 2012-08-06 | 2012-11-21 | 西安硅光电子科技有限公司 | Automatic positioning flame detection system for three-dimensional space |
| WO2014036133A1 (en) * | 2012-08-28 | 2014-03-06 | Delos Living Llc | Systems, methods and articles for enhancing wellness associated with habitable environments |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104691949A (en) * | 2015-03-16 | 2015-06-10 | 赵盾 | Portable insulin reagent storage box |
| CN106254794A (en) * | 2016-08-16 | 2016-12-21 | 成都市和平科技有限责任公司 | A kind of infrared video transmission system and method |
| CN109660709A (en) * | 2019-01-15 | 2019-04-19 | 江苏东方赛光电有限公司 | A kind of intelligent camera of embedded liquid level real-time detection function |
| CN112000155A (en) * | 2020-07-21 | 2020-11-27 | 中国民航大学 | Liquid filling control method, device and system |
| CN112000155B (en) * | 2020-07-21 | 2021-10-29 | 中国民航大学 | Liquid filling control method, device and system |
| CN115457067A (en) * | 2022-11-09 | 2022-12-09 | 乐比(广州)健康产业有限公司 | Nose-clearing and refreshing medicine liquid level detection method |
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