CN111831781B - Method for acquiring high-precision VOC concentration distribution data - Google Patents
Method for acquiring high-precision VOC concentration distribution data Download PDFInfo
- Publication number
- CN111831781B CN111831781B CN202010723404.9A CN202010723404A CN111831781B CN 111831781 B CN111831781 B CN 111831781B CN 202010723404 A CN202010723404 A CN 202010723404A CN 111831781 B CN111831781 B CN 111831781B
- Authority
- CN
- China
- Prior art keywords
- voc
- data
- monitoring
- aijinfo
- laser radar
- 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 31
- 238000012544 monitoring process Methods 0.000 claims abstract description 76
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 239000011159 matrix material Substances 0.000 claims description 15
- 239000000126 substance Substances 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000009877 rendering Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000011218 segmentation Effects 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
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/95—Lidar systems specially adapted for specific applications for meteorological use
-
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Remote Sensing (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Tourism & Hospitality (AREA)
- Mathematical Optimization (AREA)
- Radar, Positioning & Navigation (AREA)
- Electromagnetism (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Algebra (AREA)
- Software Systems (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
A method for acquiring high-precision total VOC concentration distribution data belongs to the technical field of VOC pollution monitoring. And acquiring gridding VOC monitoring data in a laser radar scanning area in real time, then combining the gridding VOC monitoring data with the VOC total quantity distribution data scanned by the laser radar, adopting a multivariate equation to perform fitting calculation, acquiring high-precision VOC total quantity distribution data in the monitoring area, and drawing a VOC total quantity distribution map in the area. The invention greatly improves the monitoring precision of the total VOC distribution in the area.
Description
Technical Field
The invention belongs to the technical field of VOC pollution monitoring, relates to a method for acquiring high-precision VOC concentration distribution data, and in particular relates to a method for inverting the VOC concentration distribution in an area by utilizing laser radar scanning and VOC gridding data.
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 paid attention to gradually, and how to monitor VOC pollution distribution in a chemical industry park effectively and with high accuracy is a problem to be solved.
VOC monitoring for chemical parks typically has two means, firstly, scanning the VOC pollution distribution in the park with lidar, and secondly, meshing monitoring using multiple VOC monitoring devices. The former has certain deviation in accuracy due to the characteristic of the monitoring principle, and the latter cannot embody the total VOC concentration distribution of each area of the park due to the distribution characteristic of the monitoring equipment. Therefore, a method for generating high-precision VOC pollution distribution data in a chemical industry park by combining the two methods is needed, so that the park VOC monitoring level is improved.
Disclosure of Invention
The invention aims to provide a method for acquiring high-precision total VOC concentration distribution data, which is used for acquiring gridding VOC monitoring data in a laser radar scanning area in real time, then combining the gridding VOC monitoring data with the total VOC distribution data scanned by the laser radar, adopting a related algorithm to carry out fitting treatment, drawing a total VOC distribution map in the area so as to improve the precision of the total VOC data and reflect the pollution distribution characteristic and the change characteristic of the VOC in the area, so that the problems in the background art are solved. The specific technical scheme is as follows.
A method of obtaining high accuracy VOC total concentration profile data, comprising the steps of:
(1) Establishing a laser radar monitoring station, wherein the laser radar scanning range can cover all monitoring areas, and the laser radar has the continuous working capacity of 7×24 hours;
(2) Selecting key VOC monitoring points in a monitoring area, deploying VOC monitoring equipment on each point to form a monitoring system in a VOC gridding form, wherein the system has the continuous working capacity of 7X 24 hours;
(3) Collecting the total VOC distribution data obtained by the laser radar to a control center in real time, and collecting the grid-point VOC data of the VOC grid monitoring to the control center in real time;
(4) Combining the VOC total quantity distribution data obtained by laser radar scanning with the VOC gridding data, and adopting a multivariate equation to perform fitting calculation to obtain high-precision VOC total quantity distribution data in a monitoring area;
(5) Drawing a map of a monitoring area, drawing an azimuth angle scale and a pollution concentration color scale, mapping data in a VOC total concentration distribution data matrix into a picture, and obtaining a color value rendering picture from the pollution concentration color scale to obtain a real-time VOC total concentration distribution map of the monitoring area;
(6) And (5) repeating the steps (3) to (5) to obtain a high-precision VOC total pollution distribution map of the monitored area.
Further, the specific process of step (4) is as follows:
1) The method comprises the steps of obtaining pollution distribution data of the total amount of VOC in a monitoring area by using a laser radar, wherein the pollution distribution data is in a circular surface geographically, the circle center is the position of the laser radar, and the radius is the effective scanning radius of the laser radar;
2) Automatically searching VOC gridding monitoring data VCells in a laser radar scanning range, wherein the data of each point position comprises longitude and latitude of the point position and a real-time VOC concentration value;
3) Establishing a data matrix VOCInfo [ n, n ] vocInfo, wherein VOCInfo comprises X, Y, Z, S four parameters, X represents a transverse index, Y represents a longitudinal index, Z represents a VOC concentration value, S represents an interpolated value, and the default value is 0; mapping the VOC total pollution distribution data containing the geographic information in the step 1) into a matrix vocInfo one by one in a certain proportion; n is a natural number, n is more than or equal to 1000;
4) Establishing a data matrix VOCInfo m pInfo, carrying out mapping conversion on the VOC gridding monitoring data obtained in the step 2) by adopting the same proportion as that of the step 3) and combining with GIS, and copying the result data to a data group pInfo; m is a natural number, and m is more than or equal to 1;
5) vocInfo is divided into Au independent areas (u is a natural number, u is more than or equal to 1), each area is recorded as VOCInfo [ i, j ] AijInfo (i, j is a natural number, i is more than or equal to 1, j is more than or equal to 1), and each area contains at most one element in pInfo;
6) Each region AijInfo in Au is traversed,
If the area contains VOC monitoring points, interpolating each element in AijInfo by using the VOC concentration value of the VOC monitoring points and combining a kriging algorithm, and assigning the interpolation result to the S structure of the corresponding element. After AijInfo is calculated, calculating the deviation ratio Pm, pm= (AijInfo [ k ]. Z-AijInfo [ k ]. S)/AijInfo [ k ]. Z of each element, and replacing AijInfo [ k ]. S with Pm;
if a certain area in the Au does not contain the VOC monitoring point, traversing AijInfo each element, inquiring the VOC monitoring point data closest to the current element from pInfo, and calculating the data by using the method;
7) Updating the calculated data into vocInfo data matrixes according to the corresponding positions;
8) All elements in a vocInfo matrix are circulated, firstly, z pieces of VOC monitoring point data closest to the elements are searched from VCells, the closest z pieces of element points are taken as sample points, a monobasic equation, a dibasic equation and a zelement equation are respectively established, an inverse distance weight interpolation calculation method is used, the deviation ratio of each sample element relative to the current element is calculated in an iterative mode, and a deviation ratio average value Pmzvg is obtained; then updating the VOC concentration value of the current element by using the updating method: aijInfo [ k ]. Z= AijInfo [ k ]. Z+ AijInfo [ k ]. Z× Pmzvg.
Further, the monitoring area is a chemical industry park.
According to the method, the VOC grid monitoring data and the VOC total quantity distribution data monitored by the laser radar are combined, and the multivariate equation fitting calculation is adopted, so that the monitoring precision of the VOC total quantity distribution in the area is greatly improved. And drawing a VOC chromatographic distribution map by using the finally calculated VOC total amount horizontal concentration distribution data, so that the concentration distribution of the VOC total amount in the area can be intuitively and effectively mastered. The pollution distribution characteristics, the change characteristics and the expansion process of VOC pollution in the monitoring area can be analyzed by comparing the VOC total chromatographic distribution map at different time points.
Drawings
FIG. 1 is a schematic diagram of the searching principle of the present invention.
Fig. 2 is a schematic view of region segmentation.
Fig. 3 is a pollution profile plotted by lidar in combination with VOC meshing.
FIG. 4 is a plot of the total VOC level tangential pollution concentration profile in a region.
Fig. 5 shows the comparison of 10 points in a laser radar scanning area of a certain area with the pre-and post-processing results of the method.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
A method for obtaining high-precision total VOC concentration distribution data firstly establishes a comprehensive monitoring system of VOC, and comprises the following four parts: laser radar, VOC gridding monitoring, data transmission and data storage, and the specific steps are as follows:
The first step, according to actual monitoring requirement, establish the laser radar monitoring station, laser radar scanning scope can cover the chemical industry garden that is monitored, and laser radar possesses 7 x 24 hours continuous operation ability.
And secondly, selecting VOC key monitoring points in a chemical industry park, deploying VOC monitoring equipment on each point to form a monitoring system in a VOC grid form, wherein the system has the continuous working capacity of 7X 24 hours.
Thirdly, collecting the total VOC distribution data obtained by the laser radar to a control center in real time, and collecting the grid-point VOC data of the VOC grid monitoring to the control center in real time.
And fourthly, combining the VOC total quantity distribution data obtained by laser radar scanning with the VOC grid data, adopting a related algorithm to process, obtaining the high-precision VOC total quantity distribution data in the chemical industry park, further drawing a VOC total quantity distribution map, and reflecting the VOC pollution condition of the park.
In order to improve the accuracy of the total VOC pollution distribution data in the chemical industry park, the method can be realized by the following steps:
1. Firstly, the laser radar is used for acquiring the pollution distribution data (D) of the total VOC in a scanning area, the pollution distribution data is geographically represented as a circular surface, the circle center is the position of the laser radar (P), and the radius is the effective scanning radius (R).
2. And (3) automatically searching VOC grid monitoring data (F VOC monitoring points are assumed to be searched, which is marked as VCells, and the data of each point comprises the longitude and latitude of the point and the real-time VOC concentration value). The search principle is shown in fig. 1: the real-time data of each monitoring point location are transmitted to a data storage server R in a VOC gridding mode, and the data stored in each monitoring point location comprise the real-time concentration value of the VOC and the longitude and latitude of the point location. And providing a point position query interface on the server, wherein the interface can automatically calculate the distance between each monitoring point position and the radar according to the Geographic Information System (GIS) according to the provided time and the laser radar position, judge whether the distance is less than R, namely whether the distance is contained by the scanning range, and finally return all VOC monitoring point position data information covered by the laser radar scanning.
3. For the convenience of calculation, a data matrix VOCInfo [ n, n ] vocInfo is established, wherein VOCInfo comprises four parameters of X, Y, Z and S, X represents a transverse index, Y represents a longitudinal index, Z represents a VOC concentration value, S represents an interpolated value, and the default value is 0; the pollution distribution data of the total amount of VOC containing geographic information in the step 1 are mapped into a matrix vocInfo one by adopting a ratio of 1:3 and combining a GIS geographic operation method; n is a natural number, n is more than or equal to 1000; in computer operation vocInfo may represent a square, with the inscribed circle representing the scan area of the lidar, i.e. the area of data D.
4. In order to facilitate calculation, a data matrix VOCInfo m pInfo is established, VCells obtained in the step 2 is based on the data matrix vocInfo, mapping conversion is performed by combining GIS with a ratio of 1:3, and the result data is copied to a data set pInfo; m is a natural number, and m is more than or equal to 1.
5. VocInfo is divided into Au (u is a natural number, u is larger than or equal to 1, each region is recorded as VOCInfo [ i, j ] AijInfo, i, j is a natural number, i is larger than or equal to 1, j is larger than or equal to 1) independent regions, so that each region only contains one element in pInfo at most, namely, the largest independent surrounding ring of each VOC monitoring point is searched in VOC pollution distribution data, and the largest independent surrounding ring is shown in figure 2.
6. Traversing each region AijInfo in Au, if the region contains VOC monitoring points, interpolating each element in AijInfo by using the VOC concentration value of the VOC monitoring points and combining a Kriging algorithm, and assigning the interpolation result to the S structure of the corresponding element. After AijInfo is calculated, calculating the deviation ratio Pm, pm= (AijInfo [ k ]. Z-AijInfo [ k ]. S)/AijInfo [ k ]. Z of each element; then AijInfo [ k ]. S is replaced by Pm.
The above calculation steps can be described as:
7. in step 6, if a region in Au does not contain VOC monitoring points, each element in AijInfo is traversed, the VOC monitoring point data closest to the current element is queried from pInfo, and the data is calculated using the method in step 6.
8. And after the calculation in the step 7 is completed, updating the calculated data into vocInfo data matrixes according to the corresponding positions.
9. All elements in the vocInfo matrix are circulated, first, z pieces of VOC monitoring point data closest to the elements are searched from VCells, the closest z pieces of element points are taken as sample points, a monobasic equation, a dibasic equation and a zelement equation are respectively established, an inverse distance weight interpolation calculation method is used, the deviation ratio of each sample element relative to the current element is calculated in an iterative mode, and the deviation ratio average value Pmzvg is obtained. Then updating the VOC concentration value of the current element by using the updating method: aijInfo [ k ]. Z= AijInfo [ k ]. Z+ AijInfo [ k ]. Z. Pmzvg.
10. Setting a PNG format picture img with the length and width of 2000 pixels and transparent background, mapping Z >0 data in pInfos into the img according to X and Y values, obtaining color values from a pollution concentration color scale, rendering the picture, drawing the picture by combining a GIS map, drawing an azimuth angle scale and the pollution concentration color scale, thereby obtaining a geographic horizontal concentration distribution diagram of VOC, and simultaneously drawing each VOC grid monitoring site in a laser radar scanning area, as shown in figure 3.
11. After the laser radar finishes scanning once, the previous 10 steps are used for calculation again, the calculation result and the last calculation result are overlapped, and if the calculation result and the last calculation result are repeatedly processed, a high-precision VOC total quantity distribution map can be finally obtained, as shown in fig. 4.
10 Points in a laser radar scanning area are selected in a certain area, VOC concentration is obtained by adopting an actual measurement method, VOC concentration is obtained by adopting the method of the invention, VOC concentration is obtained by using laser radar scanning without processing by using the method of the invention, and the result is shown in figure 5. As can be seen from the figure, after the treatment by the method of the invention, the obtained VOC concentration is obviously improved relative to the untreated result, and is closer to the measured concentration.
Claims (2)
1. The method for acquiring the high-precision VOC total concentration distribution data is characterized by comprising the following steps of:
(1) Establishing a laser radar monitoring station, wherein the laser radar scanning range can cover all monitoring areas, and the laser radar has the continuous working capacity of 7×24 hours;
(2) Selecting key VOC monitoring points in a monitoring area, deploying VOC monitoring equipment on each point to form a monitoring system in a VOC gridding form, wherein the system has the continuous working capacity of 7X 24 hours;
(3) Collecting the total VOC distribution data obtained by the laser radar to a control center in real time, and collecting the grid-point VOC data of the VOC grid monitoring to the control center in real time;
(4) Combining the VOC total quantity distribution data obtained by laser radar scanning with the VOC gridding data, and adopting a multivariate equation to perform fitting calculation to obtain high-precision VOC total quantity distribution data in a monitoring area; the specific process is as follows:
1) The method comprises the steps of obtaining pollution distribution data of the total amount of VOC in a monitoring area by using a laser radar, wherein the pollution distribution data is in a circular surface geographically, the circle center is the position of the laser radar, and the radius is the effective scanning radius of the laser radar;
2) Automatically searching VOC gridding monitoring data VCelln in a laser radar scanning range, wherein the data of each point position comprises longitude and latitude of the point position and a real-time VOC concentration value;
3) Establishing a data matrix VOCInfo [ n, n ] vocInfo, wherein VOCInfo comprises X, Y, Z, S four parameters, X represents a transverse index, Y represents a longitudinal index, Z represents a VOC concentration value, S represents an interpolated value, and the default value is 0; mapping the VOC total pollution distribution data containing the geographic information in the step 1) into a matrix vocInfo one by one in a certain proportion; n is a natural number, n is more than or equal to 1000;
4) Establishing a data matrix VOCInfo m pInfo, carrying out mapping conversion on the VOC gridding monitoring data obtained in the step 2) by adopting the same proportion as that of the step 3) and combining with GIS, and copying the result data to a data group pInfo, wherein m is a natural number, and m is more than or equal to 1;
5) vocInfo is divided into Au independent areas, u is a natural number, u is more than or equal to 1, each area is recorded as VOCInfo [ i, j ] AijInfo, i, j are natural numbers, i is more than or equal to 1, j is more than or equal to 1, and each area contains at most one element in pInfo;
6) Each region AijInfo in Au is traversed,
If the area contains VOC monitoring points, interpolating each element in AijInfo by using the VOC concentration value of the VOC monitoring points and combining a kriging algorithm, and assigning the interpolation result to the S structure of the corresponding element; after AijInfo is calculated, calculating the deviation ratio Pm, pm= (AijInfo [ k ]. Z-AijInfo [ k ]. S)/AijInfo [ k ]. Z of each element, and replacing AijInfo [ k ]. S with Pm;
if a certain area in the Au does not contain the VOC monitoring point, traversing AijInfo each element, inquiring the VOC monitoring point data closest to the current element from pInfo, and calculating the data by using the method;
7) Updating the calculated data into vocInfo data matrixes according to the corresponding positions;
8) All elements in a vocInfo matrix are circulated, firstly, n pieces of VOC monitoring point data closest to the elements are searched from VCelln, the closest n pieces of element points are taken as sample points, a monobasic equation, a dibasic equation and an n-element equation are respectively established, an inverse distance weight interpolation calculation method is used, the deviation ratio of each sample element relative to the current element is calculated in an iterative mode, and a deviation ratio average value Pmzvg is obtained; then updating the VOC concentration value of the current element by using the updating method: aijInfo [ k ]. Z= AijInfo [ k ]. Z+ AijInfo [ k ]. Z× Pmzvg;
(5) Drawing a map of a monitoring area, drawing an azimuth angle scale and a pollution concentration color scale, mapping data in a VOC total concentration distribution data matrix into a picture, and obtaining a color value rendering picture from the pollution concentration color scale to obtain a real-time VOC total concentration distribution map of the monitoring area;
(6) Repeating the steps (3) - (5) to obtain a high-precision VOC total pollution distribution map of the monitoring area.
2. The method of claim 1, wherein the monitoring area is a chemical park.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010723404.9A CN111831781B (en) | 2020-07-24 | 2020-07-24 | Method for acquiring high-precision VOC concentration distribution data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010723404.9A CN111831781B (en) | 2020-07-24 | 2020-07-24 | Method for acquiring high-precision VOC concentration distribution data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111831781A CN111831781A (en) | 2020-10-27 |
| CN111831781B true CN111831781B (en) | 2024-05-21 |
Family
ID=72924806
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010723404.9A Active CN111831781B (en) | 2020-07-24 | 2020-07-24 | Method for acquiring high-precision VOC concentration distribution data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111831781B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111221004A (en) * | 2020-01-18 | 2020-06-02 | 北京环拓科技有限公司 | Method for detecting VOC distribution by utilizing laser radar 3D scanning |
| CN210894247U (en) * | 2019-05-17 | 2020-06-30 | 北斗启明（北京）节能科技服务有限公司 | VOCS on-line monitoring system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008526203A (en) * | 2004-12-29 | 2008-07-24 | バイオジェン・アイデック・エムエイ・インコーポレイテッド | Bioreactor process control system and method |
-
2020
- 2020-07-24 CN CN202010723404.9A patent/CN111831781B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN210894247U (en) * | 2019-05-17 | 2020-06-30 | 北斗启明（北京）节能科技服务有限公司 | VOCS on-line monitoring system |
| CN111221004A (en) * | 2020-01-18 | 2020-06-02 | 北京环拓科技有限公司 | Method for detecting VOC distribution by utilizing laser radar 3D scanning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111831781A (en) | 2020-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112905560B (en) | Air pollution prediction method based on multi-source time-space big data deep fusion | |
| Dunn et al. | Positional accuracy and measurement error in digital databases of land use: an empirical study | |
| CN113344291B (en) | Urban inland inundation range forecasting method, device, medium and equipment | |
| CN113297527A (en) | PM based on multisource city big data2.5Overall domain space-time calculation inference method | |
| KR100686287B1 (en) | Distorting Modeling method for Transforming the Presize Position of Partial/Positional information | |
| CN110197035B (en) | Channel underwater terrain change analysis system and method | |
| CN103065544A (en) | Network map rectifying and drawing method under dynamic map projection | |
| CN115203189A (en) | Method for improving atmospheric transmission quantification capability by fusing multi-source data and visualization system | |
| CN116842877B (en) | Small-scale three-dimensional wind field reconstruction algorithm based on multi-source data comprehensive utilization | |
| CN112329265A (en) | Satellite remote sensing rainfall refinement space estimation method and system | |
| CN111915690B (en) | Thermodynamic diagram data shrinkage editing method based on vector tiles | |
| CN109508292B (en) | Testing method of water and soil loss field investigation and evaluation system | |
| CN115586536A (en) | Forest resource investigation monitoring system and method based on laser point cloud | |
| Borowski et al. | The conversion of heights of the benchmarks of the detailed vertical reference network into the PL-EVRF2007-NH frame | |
| Ladner et al. | Mining Spatio-Temporal Information Systems | |
| CN111831781B (en) | Method for acquiring high-precision VOC concentration distribution data | |
| CN113436328A (en) | Physical and data driving based hybrid 3D modeling method | |
| CN110751398B (en) | Regional ecological quality evaluation method and device | |
| CN109460700B (en) | Crop classification-oriented remote sensing data processing method and device | |
| CN116186189B (en) | Method and system for rapidly generating elevation live-action map model | |
| CN115993668B (en) | Polynomial correction and neural network-based PWV reconstruction method and system | |
| CN118378731A (en) | IML-GIS coupling-based water body pollutant concentration prediction method | |
| CN108241593B (en) | Space sampling target positioning method and system | |
| Schneider et al. | Update of background concentrations over Norway. | |
| Nistor-Lopatenco et al. | Creation of the Point Cloud and the 3D Model for the Above-Ground Infrastructure in the City of Chisinau by Modern Geodetic Methods |
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: 20240320 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 |