CN107888878A - Fire automatic-positioning type photograph platform courses method - Google Patents
Fire automatic-positioning type photograph platform courses method Download PDFInfo
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- CN107888878A CN107888878A CN201711139866.0A CN201711139866A CN107888878A CN 107888878 A CN107888878 A CN 107888878A CN 201711139866 A CN201711139866 A CN 201711139866A CN 107888878 A CN107888878 A CN 107888878A
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- fire
- camera installation
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000009434 installation Methods 0.000 claims abstract description 34
- 238000001514 detection method Methods 0.000 claims abstract description 10
- 230000008569 process Effects 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 30
- PXFBZOLANLWPMH-UHFFFAOYSA-N 16-Epiaffinine Natural products C1C(C2=CC=CC=C2N2)=C2C(=O)CC2C(=CC)CN(C)C1C2CO PXFBZOLANLWPMH-UHFFFAOYSA-N 0.000 claims description 27
- 230000009466 transformation Effects 0.000 claims description 20
- 238000001914 filtration Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000007850 degeneration Effects 0.000 claims description 6
- 230000007246 mechanism Effects 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 239000000779 smoke Substances 0.000 claims description 6
- 238000011084 recovery Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 4
- 239000000463 material Substances 0.000 description 3
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- G06T3/147—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4038—Scaling the whole image or part thereof for image mosaicing, i.e. plane images composed of plane sub-images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
Abstract
Description
Claims (6)
- A kind of platform courses method 1. fire automatic-positioning type is taken a picture, methods described are flat including the use of the photograph of fire automatic-positioning type When platform to recognize fire in shooting process, the automatic record various information related to fire, the fire in shooting image Calamity automatic-positioning type photograph platform includes:Height-gauge, it is embedded in the casing of camera installation, photograph is determined for the air pressure based on camera installation position The height above sea level of equipment position;Longitude and latitude detection device, is embedded in the casing of camera installation, for determining that photograph is set by satellite navigation station-keeping mode The longitude and latitude of standby position.
- 2. the method as described in claim 1, it is characterised in that the platform also includes:Camera mechanism, the front end of camera installation is arranged on, for carrying out shooting operation to the scenery for device side pair of taking a picture, to obtain And continuous multiframe faces scene image on output time.
- 3. method as claimed in claim 2, it is characterised in that the platform also includes:Memory space detection device, it is connected with the storage card of camera installation, for detecting the remaining space of the storage card, and base The remaining space energy of the storage card is determined in the remaining space of the storage card and the average amount of historical storage image The amount of images enough stored as residual image quantity to export.
- 4. method as claimed in claim 3, it is characterised in that the platform also includes:Display screen, the front end of camera installation is arranged on, is connected with the memory space detection device, for receiving simultaneously real-time display The residual image quantity;Image restoration equipment, it is connected with the camera mechanism, for receiving multiframe high-definition image continuous in time, based on described The high-definition image is averagely divided into each of relevant block size by the distance of the default resolution threshold of high-definition image resolution ratio distance Individual piecemeal, to each piecemeal, the image restoration processing of varying strength corresponding to the degree of degeneration size selection based on the piecemeal Piecemeal is restored to obtain, each recovery piecemeal of acquisition is spliced to obtain restored image;Affine transformation equipment, for receiving multiframe restored image continuous in time, based on the restored image mean flow rate away from From far and near each piecemeal that the restored image is averagely divided into relevant block size of predetermined luminance range central value, to each Individual piecemeal, based on the piecemeal pixel value variance selection corresponding to different dynamics affine transformation to obtain affine transformation piecemeal, Each affine transformation piecemeal of acquisition is spliced to obtain affine processing image;HAAR processing equipments, held for receiving the affine processing image of multiframe continuous in time, and to the affine processing image The two-dimentional HAAR filtering process of row, to obtain and export two-dimensional filtering image;Distort conformality equipment, for receiving multiframe two-dimensional filtering image continuous in time, to current two-dimensional filtering image with it is upper One frame two-dimensional filtering image is matched to obtain image overall jitter value, is determined based on described image overall jitter value to described Current two-dimensional filtering image carries out the image-region quantity of average segmentation, and described image overall jitter value is higher, to described current The image-region quantity that high-definition image carries out average segmentation is more, and each image-region is performed respectively and distorted based on image-region For the distortion conformality of degree to obtain each processing region, image-region distortion degree is bigger, and the distortion performed to image-region is just Shape intensity is bigger, each processing region is combined to obtain processed combination image;Object analysis equipment, it is connected with the distortion conformality equipment, for receiving the processed combination image, has located to described Manage combination image and carry out the Object identifying of preset flame gray threshold scope or default smog gray threshold scope, and recognizing When flame object or smoke target, by flame object or smoke target overlap onto on the processed combination image with obtain and it is defeated Go out overlay chart picture;Wherein, the display screen is also connected with the object analysis equipment, for receiving and showing the overlay chart picture;Wherein, the height above sea level of camera installation position has also been superimposed in the overlay chart picture that the display screen is shown, photograph is set The longitude and latitude of standby position.
- 5. method as claimed in claim 4, it is characterised in that:In described image resetting device, the high-definition image resolution ratio is nearer apart from the default resolution threshold, by described in The relevant block that high-definition image is averagely divided into is bigger, and to each piecemeal, the degree of degeneration of the piecemeal is bigger, the figure of selection As the intensity of restoration disposal is bigger.
- 6. method as claimed in claim 5, it is characterised in that:In the affine transformation equipment, the restored image mean flow rate is got over apart from the predetermined luminance range central value Closely, the relevant block restored image being averagely divided into is bigger, and to each piecemeal, the piecemeal torsion resistance is bigger, choosing The dynamics for the affine transformation selected is bigger.
Priority Applications (1)
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CN201711139866.0A CN107888878B (en) | 2017-11-16 | 2017-11-16 | Fire automatic-positioning type photograph platform courses method |
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CN201711139866.0A CN107888878B (en) | 2017-11-16 | 2017-11-16 | Fire automatic-positioning type photograph platform courses method |
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CN107888878A true CN107888878A (en) | 2018-04-06 |
CN107888878B CN107888878B (en) | 2018-11-16 |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109224341A (en) * | 2018-08-14 | 2019-01-18 | 浙江大丰实业股份有限公司 | Fire Curtain isolation effect verifying bench |
CN110490810A (en) * | 2019-01-20 | 2019-11-22 | 王金梅 | Live big data dynamic adjustment platform |
CN110880009A (en) * | 2019-01-20 | 2020-03-13 | 王金梅 | On-site big data dynamic adjustment method |
Citations (5)
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JP2003296702A (en) * | 2002-04-05 | 2003-10-17 | Japan Science & Technology Corp | Method for denoising earth observation satellite data, denoising processing program and recording medium recorded with denoising processing program |
CN103399319A (en) * | 2013-07-22 | 2013-11-20 | 山东神戎电子股份有限公司 | Space target positioning method applicable to video monitoring |
CN106558181A (en) * | 2015-09-28 | 2017-04-05 | 东莞前沿技术研究院 | Fire monitoring method and apparatus |
CN106971485A (en) * | 2017-03-30 | 2017-07-21 | 浙江大学 | Realtime graphic based on FPGA monitors multi-functional fire wireless alarm system and method |
CN107147872A (en) * | 2017-05-10 | 2017-09-08 | 合肥慧图软件有限公司 | A kind of pyrotechnics warning system being combined based on video monitoring with image procossing |
-
2017
- 2017-11-16 CN CN201711139866.0A patent/CN107888878B/en active Active
Patent Citations (5)
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JP2003296702A (en) * | 2002-04-05 | 2003-10-17 | Japan Science & Technology Corp | Method for denoising earth observation satellite data, denoising processing program and recording medium recorded with denoising processing program |
CN103399319A (en) * | 2013-07-22 | 2013-11-20 | 山东神戎电子股份有限公司 | Space target positioning method applicable to video monitoring |
CN106558181A (en) * | 2015-09-28 | 2017-04-05 | 东莞前沿技术研究院 | Fire monitoring method and apparatus |
CN106971485A (en) * | 2017-03-30 | 2017-07-21 | 浙江大学 | Realtime graphic based on FPGA monitors multi-functional fire wireless alarm system and method |
CN107147872A (en) * | 2017-05-10 | 2017-09-08 | 合肥慧图软件有限公司 | A kind of pyrotechnics warning system being combined based on video monitoring with image procossing |
Non-Patent Citations (1)
Title |
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姜东海等: "分形编码技术在图像型火灾烟雾探测中的应用研究", 《长沙通信职业技术学院学报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109224341A (en) * | 2018-08-14 | 2019-01-18 | 浙江大丰实业股份有限公司 | Fire Curtain isolation effect verifying bench |
CN109224341B (en) * | 2018-08-14 | 2020-08-07 | 浙江大丰实业股份有限公司 | Platform for testing isolation effect of fireproof isolation screen |
CN110490810A (en) * | 2019-01-20 | 2019-11-22 | 王金梅 | Live big data dynamic adjustment platform |
CN110880009A (en) * | 2019-01-20 | 2020-03-13 | 王金梅 | On-site big data dynamic adjustment method |
CN110490810B (en) * | 2019-01-20 | 2020-06-30 | 浙江精弘益联科技有限公司 | On-site big data dynamic adjusting device |
CN110880009B (en) * | 2019-01-20 | 2020-07-17 | 浩德科技股份有限公司 | On-site big data dynamic adjustment method |
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CN107888878B (en) | 2018-11-16 |
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Effective date of registration: 20181008 Address after: 453300 No. 632, Ying Li village, pan Dian Town, Fengqiu County, Xinxiang, Henan. Applicant after: Cao Huanhuan Address before: 226200 No. 168 West Renmin Road, Qidong Economic Development Zone, Nantong, Jiangsu Applicant before: Bao Yunqing |
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Effective date of registration: 20191107 Address after: 314100 No.8, Kangxing Road, Dayun Town, Jiashan County, Jiaxing City, Zhejiang Province Patentee after: Jiashan Dayun Economic Development Industrial Co.,Ltd. Address before: 453300 No. 632, Ying Li village, pan Dian Town, Fengqiu County, Xinxiang, Henan. Patentee before: Cao Huanhuan |
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Denomination of invention: Fire automatic positioning camera platform control method Effective date of registration: 20220803 Granted publication date: 20181116 Pledgee: Zhejiang Jiashan Rural Commercial Bank Co.,Ltd. Dayun sub branch Pledgor: Jiashan Dayun Economic Development Industrial Co.,Ltd. Registration number: Y2022330001601 |
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