CN111831781A - Method for acquiring high-precision VOC concentration distribution data - Google Patents

Method for acquiring high-precision VOC concentration distribution data Download PDF

Info

Publication number
CN111831781A
CN111831781A CN202010723404.9A CN202010723404A CN111831781A CN 111831781 A CN111831781 A CN 111831781A CN 202010723404 A CN202010723404 A CN 202010723404A CN 111831781 A CN111831781 A CN 111831781A
Authority
CN
China
Prior art keywords
voc
data
monitoring
area
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.)
Pending
Application number
CN202010723404.9A
Other languages
Chinese (zh)
Inventor
付江辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hebei Fuwan Technology Co ltd
Original Assignee
Beijing Huantuo Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Huantuo Technology Co ltd filed Critical Beijing Huantuo Technology Co ltd
Priority to CN202010723404.9A priority Critical patent/CN111831781A/en
Publication of CN111831781A publication Critical patent/CN111831781A/en
Pending legal-status Critical Current

Links

Images

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—Systems or methods specially adapted for 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

Abstract

A method for acquiring high-precision VOC total concentration distribution data belongs to the technical field of VOC pollution monitoring. Acquiring gridding VOC monitoring data in a laser radar scanning area in real time, then combining with VOC total amount distribution data scanned by the laser radar, adopting multivariate equation fitting calculation to acquire high-precision VOC total amount distribution data in the monitoring area, and drawing a VOC total amount distribution map in the area. The invention greatly improves the monitoring precision of the total VOC distribution in the region.

Description

Method for acquiring high-precision VOC concentration distribution data
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 particularly relates to a method for inversing 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 more and more serious, especially in chemical industrial parks and industrial concentration areas. In various pollution types, the VOC pollution is gradually valued and is a key monitoring and treatment object, and how to effectively and accurately monitor the VOC pollution distribution in a chemical industrial park becomes a problem to be solved urgently.
There are two kinds of means to the VOC monitoring in chemical industry garden usually, firstly utilize the VOC pollution distribution in the laser radar scanning garden, secondly use the grid monitoring that a plurality of VOC monitoring facilities constitute. The former has certain deviation in precision due to the characteristics of the monitoring principle, and the latter cannot reflect the total VOC concentration distribution of each area of the garden due to the distribution characteristics of the monitoring equipment. Therefore, a method is needed to combine the VOC and the VOC with high precision and generate VOC pollution distribution data in a chemical industrial park in an inversion mode, so that the VOC monitoring level of the park is improved.
Disclosure of Invention
The invention aims to provide a method for acquiring high-precision VOC total 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 VOC total concentration distribution data scanned by the laser radar, adopting a related algorithm for fitting treatment, and drawing a VOC total concentration distribution map in the area so as to improve the precision of the VOC total concentration data and reflect the VOC pollution distribution characteristics and the change characteristics in the area, thereby solving the problems mentioned in the background technology. The specific technical scheme is as follows.
A method for acquiring high-precision VOC total concentration distribution data comprises the following steps:
(1) establishing a laser radar monitoring station, wherein the scanning range of the laser radar can cover all monitoring areas, and the laser radar has the continuous working capacity of 7 multiplied by 24 hours;
(2) selecting key VOC monitoring points in a monitoring area, and deploying VOC monitoring equipment at each point to form a monitoring system in a VOC gridding form, wherein the system has continuous working capacity of 7 multiplied by 24 hours;
(3) the method comprises the steps of collecting VOC total amount distribution data acquired by a laser radar to a control center in real time, and collecting lattice VOC data monitored in a VOC gridding mode to the control center in real time;
(4) combining VOC total amount distribution data obtained by scanning of a laser radar with VOC gridding data, and adopting multivariate equation fitting calculation to obtain high-precision VOC total amount distribution data in a monitoring area;
(5) drawing a monitoring area map, 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 acquiring 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) acquiring VOC total pollution distribution data in a monitored area by using a laser radar, wherein the pollution distribution data is a circular surface in geography, the circle center is the position of the laser radar, and the radius is the effective scanning radius of the laser radar;
2) VOC gridding monitoring data VCels in a laser radar scanning range are automatically searched, and data of each point location comprise longitude and latitude of the point location 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 a value obtained by interpolation, and the default is 0; mapping the VOC total pollution distribution data containing the geographic information in the step 1) to a matrix vocInfo one by one according to a certain proportion; n is a natural number, and 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 in the step 3) and combining with a 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) the method comprises the steps of dividing vocnfo into Au independent areas (u is a natural number, u is larger than or equal to 1), and recording each area 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), so that each area only contains one element in pInfo at most;
6) go through each area aijnfo in Au,
and if the area contains the VOC monitoring point, interpolating each element in the Aijnfo by using the VOC concentration value of the VOC monitoring point and combining a Krigin algorithm, and assigning the interpolation result to the S structure of the corresponding element. After the AijInfo is calculated, calculating a deviation ratio Pm of each element, wherein Pm is (AijInfo [ k ]. Z-AijInfo [ k ]. S)/AijInfo [ k ]. Z, and then replacing the AijInfo [ k ]. S with Pm;
if a certain area in Au does not contain a VOC monitoring point, traversing each element in AijInfo, inquiring 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 a vocnfo data matrix according to the corresponding position;
8) circulating all elements in the vocInfo matrix, firstly searching z VOC monitoring point data which are closest to VCels, using the closest z element points as sample points, respectively establishing a unitary equation, a binary equation and a z element equation, using an inverse distance weight interpolation calculation method, iteratively calculating the deviation ratio of each sample element relative to the current element, and solving a deviation ratio mean value Pmzvg; then, updating the VOC concentration value of the current element by using an updating method: AijInfo [ k ]. Z ═ AijInfo [ k ]. Z + AijInfo [ k ]. Z × Pmzvg.
Furthermore, the monitoring area is a chemical industry park.
According to the method, the VOC gridding monitoring data and the VOC total distribution data monitored by the laser radar are combined, and multivariate equation fitting calculation is adopted, so that the monitoring precision of the VOC total distribution in the region is greatly improved. And drawing a VOC chromatographic distribution diagram by using the finally calculated horizontal concentration distribution data of the total VOC, so that the concentration distribution of the total VOC in the region can be visually and effectively mastered. By comparing the VOC total amount chromatographic distribution maps divided into different time points, the pollution distribution characteristics, the change characteristics and the expansion process of VOC pollution in a monitoring area can be analyzed.
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 distribution graph drawn by laser radar in combination with VOC meshing.
FIG. 4 is a plot of the total VOC level profile of a given area.
FIG. 5 shows the comparison of the pre-processing result and the post-processing result of the method for 10 points selected from the scanning area of the laser radar in a certain area.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
A method for acquiring high-precision VOC total concentration distribution data comprises the following four parts: laser radar, VOC meshing monitoring, data transmission and data storage, the concrete steps are as follows:
firstly, according to the actual monitoring requirement, establish laser radar monitoring station, laser radar scanning range can cover the chemical industry garden that is monitored, and laser radar possesses 7 x 24 hours continuous operation ability.
And secondly, selecting key VOC monitoring point locations in the chemical industry park, and deploying VOC monitoring equipment at each point location to form a monitoring system in a VOC gridding form, wherein the system has continuous working capacity of 7 multiplied by 24 hours.
And thirdly, collecting VOC total amount distribution data acquired by the laser radar to a control center in real time, and collecting lattice VOC data monitored in a VOC gridding mode to the control center in real time.
And fourthly, combining the VOC total amount distribution data acquired by the laser radar scanning with the VOC gridding data, and processing by adopting a related algorithm to acquire high-precision VOC total amount distribution data in the chemical industry park so as to draw a VOC total amount distribution map and reflect the VOC pollution condition of the park.
In order to improve the accuracy of VOC total amount pollution distribution data in a chemical industry park, the method can be realized through the following steps:
1. firstly, acquiring VOC total pollution distribution data (marked as D) in a scanning area by using a laser radar, wherein the pollution distribution data is geographically presented as a circular surface, the circle center is the position (marked as P) of the laser radar, and the radius is the effective scanning radius (marked as R) of the laser radar.
2. VOC gridding monitoring data in the scanning range of the laser radar are automatically searched (F VOC monitoring point locations are assumed to be searched and recorded as VCels, and the data of each point location comprises the longitude and latitude where the point location is located and the real-time VOC concentration value). The search principle is shown in fig. 1: and transmitting the real-time data of each monitoring point location in the VOC meshing mode to a data storage server R, wherein the data stored in each monitoring point location comprises a VOC real-time concentration value and the longitude and latitude of the point location. And a point location query interface is provided on the server, the distance from each monitoring point location to the radar can be automatically calculated according to GIS geography according to the provided time and the laser radar position, whether the distance is less than R or not is judged, namely whether the distance is included by a scanning range or not is judged, and finally all VOC monitoring point data information covered by laser radar scanning is returned.
3. For convenience of calculation, a data matrix VOCInfo [ n, n ] vocInfo is established, wherein the 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 a value obtained by interpolation, and the default value is 0; mapping the VOC total pollution distribution data containing the geographic information in the step 1 into a matrix vocnfo one by adopting a ratio of 1:3 and combining a GIS geographic operation method; n is a natural number, and n is more than or equal to 1000; in computer operation, vocnfo may represent a square, the inscribed circle of which represents the scanning area of the lidar, i.e., the area of data D.
4. For convenience of calculation, a data matrix VOCInfo [ m ] pInfo is established, VCells obtained in the step 2 are mapped and converted by combining GIS according to the data matrix vocInfo, the ratio of 1:3 is adopted, and the result data are copied to a data group pInfo; m is a natural number, and m is more than or equal to 1.
5. The vocInfo is divided into Au (u is a natural number, u is larger than or equal to 1, each area 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 areas, so that each area only contains one element in pInfo at most, namely the maximum independent enclosure of each VOC monitoring point is searched in VOC pollution distribution data, as shown in FIG. 2.
6. Traversing each area AijInfo in Au, if the area contains VOC monitoring points, using the VOC concentration value of the VOC monitoring points, combining with a Krigin algorithm to interpolate each element in the AijInfo, and assigning the interpolation result to the S structure of the corresponding element. After the aijnfo is calculated, calculating a deviation ratio Pm, Pm of each element, wherein the deviation ratio Pm is (aijnfo [ k ]. Z-aijnfo [ k ]. S)/aijnfo [ k ]. Z; then AijInfo [ k ]. S is replaced by Pm.
The above calculation steps can be described as:
Figure BDA0002600827410000041
Figure BDA0002600827410000051
7. in step 6, if a certain area in Au does not contain a VOC monitoring point, traversing each element in AijInfo, inquiring VOC monitoring point data closest to the current element from pInfo, and calculating the data by using the method in step 6.
8. And after the calculation is completed in the step 7, updating the calculated data into the vocnfo data matrix according to the corresponding position.
9. And (3) circulating all elements in the vocnfo matrix, firstly searching z VOC monitoring point data with the nearest distance from VCels, respectively establishing a unitary equation, a binary equation and a z-element equation by using the z-element points as sample points, iteratively calculating the deviation ratio of each sample element relative to the current element by using an inverse distance weight interpolation calculation method, and calculating the deviation ratio mean value Pmzvg. Then, updating the VOC concentration value of the current element by using an updating method: AijInfo [ k ]. Z ═ AijInfo [ k ]. Z + AijInfo [ k ]. Z × Pmzvg.
10. Setting a PNG format picture img with a transparent background and 2000 pixels in length and width, mapping data with Z >0 in pInfos into the img according to X and Y values, acquiring a color value 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 horizontal concentration distribution diagram of VOC on geography, and simultaneously drawing each VOC grid monitoring station in a laser radar scanning area, as shown in figure 3.
11. After each scanning of the laser radar is finished, the calculation is carried out again by using the first 10 steps, the calculation result and the last calculation result are superposed, and if the repeated processing is carried out, a high-precision VOC total amount 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, the VOC concentration is obtained by adopting an actual measurement method, the VOC concentration is obtained by adopting the method of the invention, and the VOC concentration is obtained by only scanning the laser radar without using the method of the invention, and the result is shown in figure 5. It can be seen from the figure that the VOC concentration obtained after treatment by the method of the invention is significantly more accurate than the untreated result and closer to the measured concentration.

Claims (3)

1. A method for obtaining high-precision VOC concentration distribution data is characterized by comprising the following steps:
(1) establishing a laser radar monitoring station, wherein the scanning range of the laser radar can cover all monitoring areas, and the laser radar has the continuous working capacity of 7 multiplied by 24 hours;
(2) selecting key VOC monitoring points in a monitoring area, and deploying VOC monitoring equipment at each point to form a monitoring system in a VOC gridding form, wherein the system has continuous working capacity of 7 multiplied by 24 hours;
(3) the method comprises the steps of collecting VOC total amount distribution data acquired by a laser radar to a control center in real time, and collecting lattice VOC data monitored in a VOC gridding mode to the control center in real time;
(4) combining VOC total amount distribution data obtained by scanning of a laser radar with VOC gridding data, and adopting multivariate equation fitting calculation to obtain high-precision VOC total amount distribution data in a monitoring area;
(5) drawing a monitoring area map, 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 acquiring 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.
2. The method according to claim 1, wherein the specific process of step (4) is as follows:
1) acquiring VOC total pollution distribution data in a monitored area by using a laser radar, wherein the pollution distribution data is a circular surface in geography, the circle center is the position of the laser radar, and the radius is the effective scanning radius of the laser radar;
2) VOC gridding monitoring data VCelln in a laser radar scanning range are automatically searched, and the data of each point location comprises the longitude and latitude of the point location 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 a value obtained by interpolation, and the default is 0; mapping the VOC total pollution distribution data containing the geographic information in the step 1) to a matrix vocInfo one by one according to a certain proportion; n is a natural number, and 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 in the step 3) and combining with a 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) the method comprises the steps of dividing vocnfo into Au independent areas (u is a natural number, u is larger than or equal to 1), and recording each area 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), so that each area only contains one element in pInfo at most;
6) go through each area aijnfo in Au,
and if the area contains the VOC monitoring point, interpolating each element in the Aijnfo by using the VOC concentration value of the VOC monitoring point and combining a Krigin algorithm, and assigning the interpolation result to the S structure of the corresponding element. After the AijInfo is calculated, calculating a deviation ratio Pm of each element, wherein Pm is (AijInfo [ k ]. Z-AijInfo [ k ]. S)/AijInfo [ k ]. Z, and then replacing the AijInfo [ k ]. S with Pm;
if a certain area in Au does not contain a VOC monitoring point, traversing each element in AijInfo, inquiring 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 a vocnfo data matrix according to the corresponding position;
8) circulating all elements in the vocnfo matrix, firstly searching z VOC monitoring point data with the nearest distance from VCelln, using the z element points as sample points, respectively establishing a unitary equation, a binary equation and a z element equation, using an inverse distance weight interpolation calculation method, iteratively calculating the deviation ratio of each sample element relative to the current element, and solving a deviation ratio mean value Pmzvg; then, updating the VOC concentration value of the current element by using an updating method: AijInfo [ k ]. Z ═ AijInfo [ k ]. Z + AijInfo [ k ]. Z × Pmzvg.
3. A method according to claim 1 or 2, wherein the monitored area is a chemical park.
CN202010723404.9A 2020-07-24 2020-07-24 Method for acquiring high-precision VOC concentration distribution data Pending CN111831781A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010723404.9A CN111831781A (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 CN111831781A (en) 2020-07-24 2020-07-24 Method for acquiring high-precision VOC concentration distribution data

Publications (1)

Publication Number Publication Date
CN111831781A true CN111831781A (en) 2020-10-27

Family

ID=72924806

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010723404.9A Pending CN111831781A (en) 2020-07-24 2020-07-24 Method for acquiring high-precision VOC concentration distribution data

Country Status (1)

Country Link
CN (1) CN111831781A (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090104594A1 (en) * 2004-12-29 2009-04-23 Biogen Idec Bioreactor Process Control System and Method
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090104594A1 (en) * 2004-12-29 2009-04-23 Biogen Idec Bioreactor Process Control System and Method
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

Similar Documents

Publication Publication Date Title
Hutchinson et al. ANUSPLIN version 4.4 user guide
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
CN107273995A (en) Urban Air Pollution Methods
KR100686287B1 (en) Distorting Modeling method for Transforming the Presize Position of Partial/Positional information
DE112017008137T5 (en) MAPPING A GRID ASSIGNMENT USING A DEFECTIVE AREA DISTRIBUTION
CN110197035B (en) Channel underwater terrain change analysis system and method
CN112348867B (en) Urban high-precision three-dimensional terrain construction method and system based on LiDAR point cloud data
CN116842877B (en) Small-scale three-dimensional wind field reconstruction algorithm based on multi-source data comprehensive utilization
CN115203189A (en) Method for improving atmospheric transmission quantification capability by fusing multi-source data and visualization system
CN114661744B (en) Terrain database updating method and system based on deep learning
CN113221464A (en) Ground station and remote sensing observation rainfall data fusion method and device
CN111651411A (en) Complex terrain remote sensing soil moisture product downscaling method
CN109508292B (en) Testing method of water and soil loss field investigation and evaluation system
CN107678025A (en) Sea wave height computational methods and device, storage medium and processor
CN111831781A (en) Method for acquiring high-precision VOC concentration distribution data
Clarke A comparative analysis of polygon to raster interpolation methods
Briggs et al. Integrating land resource data into a European geographical information system: practicalities and problems
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
CN108241593B (en) Space sampling target positioning method and system
CN116089559A (en) Hundred-megameter-level meteorological live grid data refinement service method
Merrill et al. Density equalizing map projections: Techniques and applications
Schall Interpolating countour lines with radial basis functions
CN117235076A (en) Discrete data storage method and system
Choudhury et al. Map soil using Arc GIS

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
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: Zhong Guo

Address before: 100029 605, Changxin building, 39 Anding Road, Chaoyang District, Beijing

Applicant before: Beijing huantuo Technology Co.,Ltd.

Country or region before: Zhong Guo