CN111831780B - Method for early warning of traceable VOC leakage risk point - Google Patents
Method for early warning of traceable VOC leakage risk point Download PDFInfo
- Publication number
- CN111831780B CN111831780B CN202010721596.XA CN202010721596A CN111831780B CN 111831780 B CN111831780 B CN 111831780B CN 202010721596 A CN202010721596 A CN 202010721596A CN 111831780 B CN111831780 B CN 111831780B
- Authority
- CN
- China
- Prior art keywords
- voc
- area
- laser radar
- early warning
- pollution
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 238000001931 thermography Methods 0.000 claims abstract description 15
- 239000000126 substance Substances 0.000 claims abstract description 9
- 238000005516 engineering process Methods 0.000 abstract description 6
- 238000001514 detection method Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 239000003317 industrial substance Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Multimedia (AREA)
- Remote Sensing (AREA)
- Emergency Alarm Devices (AREA)
Abstract
A method for early warning and tracing a VOC leakage risk point belongs to the technical field of VOC pollution monitoring. The method combines laser radar scanning and infrared thermal imaging technologies, utilizes the horizontal concentration distribution data of the total amount of VOC obtained by laser radar detection, analyzes the high concentration pollution zone of the total amount of VOC in a scanning monitoring area in real time, and calculates the specific geographic position of high concentration VOC pollution by combining GIS geographic information; automatically adjusting the focal length, pitch angle and azimuth angle of the camera, finishing image video evidence collection, simultaneously applying an image recognition technology, tracking and tracing to a device with VOC sudden leakage, and pushing early warning information. The method can timely and rapidly monitor the high-concentration pollution area of the VOC in the chemical industry park, trace the source to a specific VOC leakage device and provide image video evidence; meanwhile, the method can be automatically executed within 24 hours, and an effective way is provided for VOC pollution tracing and early warning management and control.
Description
Technical Field
The invention belongs to the technical field of VOC pollution monitoring, relates to a method for early warning and tracing a VOC leakage risk point, and particularly relates to a method for early warning and tracing a VOC leakage risk point, in particular to a chemical device VOC leakage risk point by combining laser radar scanning and infrared thermal imaging technology.
Background
With the rapid development of economy, environmental pollution is becoming serious, especially in chemical parks and industrial concentration areas. In various pollution types, VOC pollution is gradually emphasized, and is mainly monitored and treated.
In industrial chemical industry garden, there is the risk that VOC suddenly revealed, but because the garden does not have omnidirectional monitored control system, can't in time discover, especially under the condition that artificial intervention such as night reduces, cause the excessive emission of VOC easily, probably takes place the environmental accident when serious. In view of this, there is a need for an online, full-time, all-around monitoring means that can discover devices that may have VOC leakage in time and locate device areas for image video forensics to reduce such uncontrolled burstiness risk.
Disclosure of Invention
The invention aims to provide a method for early warning and tracing VOC leakage risk points, which is used for realizing online, full-time and all-dimensional monitoring by combining laser radar scanning and infrared thermal imaging technologies, timely finding out devices possibly having VOC leakage and positioning device areas, and performing image video evidence collection so as to reduce uncontrollable burst risks.
The invention utilizes the laser radar detection to obtain the VOC total amount horizontal concentration distribution data, instantly analyzes and scans the VOC total amount high concentration pollution zone in the monitoring area, and calculates the specific geographic position of the high concentration VOC pollution by combining with GIS geographic information. According to the geographic position and the geographic position of the thermal imaging camera, the focal length, the pitch angle and the azimuth angle of the camera are automatically adjusted by combining with a device database of the monitoring area, which has the risk of VOC leakage, image video evidence collection is completed, meanwhile, an image recognition technology is applied, the device with the sudden VOC leakage is tracked and traced, and early warning information is pushed. The specific technical scheme is as follows.
A method for early warning of traceable VOC leakage risk points comprises the following steps:
(1) Establishing an emission device database in which VOC leakage risks exist in a monitoring area;
(2) Establishing a laser radar monitoring station, wherein the laser radar scanning range covers all monitored areas, and the laser radar has the continuous working capacity of 7×24 hours;
(3) Establishing shooting points of an infrared thermal imaging camera above the laser radar, wherein the shooting range of the infrared thermal imaging camera covers all the monitored area, and the infrared thermal imaging camera has the continuous working capacity of 7X 24 hours;
(4) The laser radar executes a scanning task and uploads data to a control center; the control center analyzes the continuous scanning results for a plurality of times to form VOC total quantity distribution data in the continuous scanning range;
(5) The control center judges whether an exceeding area exists in the scanning area according to a preset exceeding threshold value of the total VOC; if the out-of-standard area exists, calculating the distance and azimuth angle between the out-of-standard area and the camera;
(6) The control center sends a camera control command, rotates a camera lens to the azimuth of the pollution area, adjusts the focal length of the camera, takes a group of pictures and records a video, and uploads the pictures and the video to the control center;
(7) The control center carries out image recognition on the pictures and the videos obtained in the step (6) and judges whether VOC leakage exists or not; and (3) if VOC leakage exists, tracing the source by combining the point location database in the step (1), and pushing image and text early warning information.
Further, the emission device database in step (1) records in detail the geographical location information and the emission port height information of each VOC emission device in the monitored area.
Further, in the step (4), the total VOC distribution data in the laser radar scanning range is rasterized and divided into a plurality of square areas, and each square area data comprises VOC concentration data and geographic information data.
Further, the image recognition in the step (7) firstly determines and recognizes whether a high heat source scene exists in the thermal imaging picture; and secondly, judging and identifying whether the key device VOC leakage exists in the visible light picture.
Further, the monitoring area is a chemical industry park.
The method for early warning and tracing the VOC leakage risk points can timely and rapidly monitor the high-concentration pollution area of the VOC in the chemical industry park, trace the source to a specific VOC leakage device and provide image video evidence; meanwhile, the method can be automatically executed in 24 hours in practical application, and the full-time monitoring greatly improves the VOC pollution monitoring capability, and provides an effective way for VOC pollution tracing and early warning management and control.
Drawings
FIG. 1 is a schematic diagram of gridding division and grid acquisition of a scan area.
Fig. 2 is a schematic diagram of parameters required for computing and controlling video capture of a camera image.
Fig. 3 is a trace of the VOC leakage point.
Reference numerals: 1-a thermal imaging camera; 2-laser radar; 3-a round area scanned by a laser radar; 4 to 5 represent sector areas formed by three scans; 6-grid Ri with out-of-standard pollution exists after grid formation, and the geographic coordinate of the center point is Gp2; 7-average height aH of a key device in the square; 8-compass, north azimuth is 0 °.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
A method for early warning of a traceable VOC leakage risk point monitors a chemical industry park. The method comprises the following specific steps:
1) Firstly, establishing a park VOC emission accent device database Kds, and recording the geographical position information and the discharge port height information of each VOC emission device in a chemical industry park in detail for later early warning and tracing.
2) The laser radar is used to acquire the total VOC pollution distribution data (here denoted as: f) The pollution distribution data is geographically represented as sectors, the center of the sectors being the location of the lidar (denoted herein as: p), the radius is the laser radar effective scan radius (denoted herein as: r) is defined as (1);
3) The whole scanning area is rasterized according to the pollution judgment precision (namely, the pollution judgment size Pr is set to be 50 meters here), the square occupied by the sector (assumed to be Rect [ ] Rn) is obtained, and the longitude and latitude of the upper left corner and the lower right corner of each rectangular area are calculated by combining GIS geographic information, as shown in figure 1.
Wherein the data structure of Rect is as follows:
4) Traversing the grid Ri in the Rn obtained in the step 3), calculating the geographical range Region contained in the grid Ri, obtaining the maximum concentration value of the total VOC in the Region from the F calculated in the step 1), filling TVOCmax of the grid Ri, judging whether the grid Ri exceeds the standard (assuming that the exceeding standard concentration is Tm), and eliminating the grid Ri without the exceeding standard;
5) Traversing the key device database Kds, and associating the grid Rn processed in the step 4) with Kds according to GIS geographic information. Then, rn is split into two parts, one is a set Rnh of accent discharge devices in the square, and the other is a set Rnn of accent devices in the square.
6) Traversing the grid Rim in the step Rnh, calculating the longitude and latitude Gpm of the grid central point, calculating the distance Dm between the central point and the camera by combining GIS geographic information calculation and trigonometric function, azimuth Azm and pitch angle Pch, and then automatically controlling the camera to shoot image video information, wherein the method comprises the following steps: thermal imaging image video information, visible light image video information. The process is shown in fig. 2;
7) Firstly, judging and identifying whether a high heat source scene exists in a thermal imaging picture by adopting an image identification technology; secondly, judging and identifying whether emission behaviors such as a key device chimney exist in the visible light picture;
8) And (3) automatically judging whether VOC leakage is possible or not according to the total VOC exceeding numerical value, the thermal imaging picture identification Result and the visible light picture identification Result, and obtaining a Result set Result1 for judging the VOC leakage is assumed.
9) The square grid Ri in step Rnn is traversed and the square grid center point Gp2 is calculated according to the method in fig. 2. The key device surrounded by Cr is searched from the key device database Kds by taking Gp2 as a circle center and R (R takes 200 meters) as a radius setting circle Cr, and if not searched, the radius R is enlarged (50 meters are added each time) until the key device (marked as an Kn set) is searched.
10 Traversing the key device Kj in the Kn, calculating parameters required by camera shooting according to the geographical information and the height information of the key device and the method shown in fig. 2, obtaining image video information, and obtaining a Result set Result2 for judging that VOC leakage tracing exists according to the judging results of the steps 7) and 8).
11 Comprehensive Result1 and Result2, eliminating the judging Result of the repeating device, obtaining the pollution tracing early warning information of the final high-concentration VOC region, integrating and displaying the information, pushing the tracing early warning information and obtaining the image video evidence information.
Through the method, the high-concentration pollution area of the VOC in the chemical industry park can be timely and rapidly monitored, a specific VOC leakage device is traced to, and image video evidence is provided, as shown in fig. 3.
Claims (5)
1. The method for early warning of the traceable VOC leakage risk point is characterized by comprising the following steps of:
(1) Establishing an emission device database in which VOC leakage risks exist in a monitoring area;
(2) Establishing a laser radar monitoring station, wherein the laser radar scanning range covers all monitored areas, and the laser radar has the continuous working capacity of 7×24 hours;
(3) Establishing shooting points of an infrared thermal imaging camera above the laser radar, wherein the shooting range of the infrared thermal imaging camera covers all the monitored area, and the infrared thermal imaging camera has the continuous working capacity of 7X 24 hours;
(4) The laser radar executes a scanning task and uploads data to a control center; the control center analyzes the continuous scanning results for a plurality of times to form VOC total quantity distribution data in the continuous scanning range;
(5) The control center judges whether an exceeding area exists in the scanning area according to a preset exceeding threshold value of the total VOC; if the out-of-standard area exists, calculating the distance and azimuth angle between the out-of-standard area and the camera;
(6) The control center sends a camera control command, rotates a camera lens to the azimuth of the pollution area, adjusts the focal length of the camera, takes a group of pictures and records a video, and uploads the pictures and the video to the control center;
(7) The control center carries out image recognition on the pictures and the videos obtained in the step (6) and judges whether VOC leakage exists or not; and (3) if VOC leakage exists, tracing the source by combining the emission device database in the step (1), and pushing image and text early warning information.
2. The method of claim 1, wherein the emissions database of step (1) details geographic location information and emissions height information for each VOC emissions device within a monitored area.
3. The method of claim 1, wherein step (4) rasterizes the total VOC distribution data within the laser radar scan range into a plurality of square grid areas, each square grid area data comprising VOC concentration data and geographic information data.
4. The method of claim 1, wherein the image recognition in step (7) first determines and recognizes whether a high heat source scene is present in the thermographic picture; and secondly, judging and identifying whether the key device VOC leakage exists in the visible light picture.
5. The method of claim 1, wherein the monitoring area is a chemical park.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010721596.XA CN111831780B (en) | 2020-07-24 | 2020-07-24 | Method for early warning of traceable VOC leakage risk point |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010721596.XA CN111831780B (en) | 2020-07-24 | 2020-07-24 | Method for early warning of traceable VOC leakage risk point |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111831780A CN111831780A (en) | 2020-10-27 |
CN111831780B true CN111831780B (en) | 2024-06-14 |
Family
ID=72926216
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010721596.XA Active CN111831780B (en) | 2020-07-24 | 2020-07-24 | Method for early warning of traceable VOC leakage risk point |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111831780B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113324924A (en) * | 2021-07-05 | 2021-08-31 | 中国科学技术大学先进技术研究院 | Hyperspectral remote sensing system for scanning and imaging overhead pollution source |
CN113470050A (en) * | 2021-08-01 | 2021-10-01 | 北京环拓科技有限公司 | Method for analyzing, identifying and quantifying VOC (volatile organic compound) leakage by utilizing double-spectrum image |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104122054A (en) * | 2014-07-27 | 2014-10-29 | 北京航星网讯技术股份有限公司 | Infrared thermal imaging type laser gas leak detection method and apparatus |
CN109686059A (en) * | 2018-12-29 | 2019-04-26 | 北京维禹特科技发展有限公司 | A kind of VOCs leakage monitoring traceability system and method |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004028601A (en) * | 2002-06-21 | 2004-01-29 | Mitsubishi Heavy Ind Ltd | Monitoring laser radar system, and imaging method |
CN110095423B (en) * | 2018-12-17 | 2024-05-24 | 中国科学院合肥物质科学研究院 | Multichannel pollution emission emergency telemetry imaging system and method |
CN109696208A (en) * | 2018-12-29 | 2019-04-30 | 北京维禹特科技发展有限公司 | A kind of waste gas monitoring traceability system and method |
CN111221004B (en) * | 2020-01-18 | 2022-04-19 | 北京环拓科技有限公司 | Method for detecting VOC distribution by utilizing laser radar 3D scanning |
CN111220618B (en) * | 2020-02-25 | 2020-12-04 | 广州华粤科技有限公司 | Device for remotely monitoring VOCS (volatile organic Compounds) emission of pollutant gas based on unmanned aerial vehicle |
-
2020
- 2020-07-24 CN CN202010721596.XA patent/CN111831780B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104122054A (en) * | 2014-07-27 | 2014-10-29 | 北京航星网讯技术股份有限公司 | Infrared thermal imaging type laser gas leak detection method and apparatus |
CN109686059A (en) * | 2018-12-29 | 2019-04-26 | 北京维禹特科技发展有限公司 | A kind of VOCs leakage monitoring traceability system and method |
Also Published As
Publication number | Publication date |
---|---|
CN111831780A (en) | 2020-10-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102819926B (en) | Fire monitoring and warning method on basis of unmanned aerial vehicle | |
CN102036054B (en) | Intelligent video monitoring system based on three-dimensional virtual scene | |
CN111831780B (en) | Method for early warning of traceable VOC leakage risk point | |
CN112711033B (en) | Slope safety monitoring and early warning device and method | |
CN108550234B (en) | Label matching and fence boundary management method and device for double base stations and storage medium | |
WO2020211593A1 (en) | Digital reconstruction method, apparatus, and system for traffic road | |
CN102436738A (en) | Traffic monitoring device based on unmanned aerial vehicle | |
CN107886670A (en) | Forest zone initial fire disaster quickly identifies and localization method, storage medium, electronic equipment | |
CN114089786A (en) | Autonomous inspection system based on unmanned aerial vehicle vision and along mountain highway | |
RU2504014C1 (en) | Method of controlling monitoring system and system for realising said method | |
CN106998447A (en) | Wide area, oil field infrared panorama imaging radar scout command and control system | |
CN115063442B (en) | Method, equipment and medium for tracking hidden danger targets of power transmission line | |
CN114972997A (en) | Tracking type photovoltaic power generation optimization method based on 3D cloud layer reconstruction of all-sky image | |
CN107607939B (en) | Optical target tracking and positioning radar device based on real map and image | |
CN110969802B (en) | Positioning monitoring method based on mobile signal tower point and intelligent supervision platform | |
US11703820B2 (en) | Monitoring management and control system based on panoramic big data | |
CN119165892A (en) | A control method, device and storage medium for a pan/tilt device | |
CN118521726A (en) | Image processing method based on multi-source data fusion | |
CN113538967A (en) | A vehicle-road coordination device and method in an intersection scene | |
CN111586303A (en) | Control method and device for dynamically tracking road surface target by camera based on wireless positioning technology | |
CN116091899B (en) | Vehicle tracking method, system, device, electronic equipment and readable storage medium | |
Fedorov et al. | Placement strategy of multi-camera volumetric surveillance system for activities monitoring | |
CN113538577B (en) | Multi-camera coverage optimization method, device, equipment and storage medium | |
CN112860946B (en) | Method and system for converting video image information into geographic information | |
CN116071703A (en) | Dust integrated intelligent treatment method, equipment and medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20240428 Address after: Room 505B, Building A, COFCO Hebei Plaza, No. 345 Youyi North Street, Xinhua District, Shijiazhuang City, Hebei Province, 050000 Applicant after: Hebei Fuwan Technology Co.,Ltd. Country or region after: China Address before: 100029 605, Changxin building, 39 Anding Road, Chaoyang District, Beijing Applicant before: Beijing huantuo Technology Co.,Ltd. Country or region before: China |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |