CN105043401B - City health trip method and system for planning based on Floating Car method - Google Patents
City health trip method and system for planning based on Floating Car method Download PDFInfo
- Publication number
- CN105043401B CN105043401B CN201510412439.XA CN201510412439A CN105043401B CN 105043401 B CN105043401 B CN 105043401B CN 201510412439 A CN201510412439 A CN 201510412439A CN 105043401 B CN105043401 B CN 105043401B
- Authority
- CN
- China
- Prior art keywords
- point
- module
- values
- server
- mrow
- 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
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Abstract
The invention discloses a kind of city health trip method and system for planning based on Floating Car method, method includes：The PM2.5 detected values and geographical coordinate of collection vehicle position, and upload onto the server, form city PM2.5 detected value data acquisition systems；The size of PM2.5 detected values is represented by different colors on the electronic map；With reference to the PM2.5 detected values and path distance between departure place and destination, it is determined that healthy trip route.System includes vehicle-mounted detection device and server two parts.The present invention can effectively solve the problem that existing monitoring point is fixed, monitors that limited amount, monitoring cost are high, Monitoring Data renewal time is long, particular locations PM2.5 values are not accurate enough the problems such as, trip starting point and destination to resident cook up that air quality is good and the suitable best route of distance, and facility is provided for resident trip.
Description
Technical field
The invention belongs to wisdom traffic field, it is particularly a kind of based on Floating Car method city health trip planing method and
System.
Background technology
PM2.5 refers to particulate matter of the diameter less than or equal to 2.5 microns, also referred to as lung particulate matter in air.PM2.5
Particle diameter is small, and containing substantial amounts of poisonous and harmful substances, and residence time length, fed distance in an atmosphere is remote, thus human body is good for
The influence of health and atmosphere quality is huge.In view of harm of the PM2.5 to human body and environment, 2 months 2012, hair was agreed to by State Council
What cloth was newly revised《Ambient air quality》Add PM2.5 monitoring indexes.
PM2.5 monitors station arrangement substantially based on specialty at present, and the cost of professional website is about in hundreds of thousands, the whole series system
Cost of uniting is even more than one hundred million several ten million.The result that professional website monitors to obtain is a large-scale PM2.5 data, and non-specific
The PM2.5 concentration of zonule.The monitor value so obtained is not specific and comprehensive for domestic consumer, can not meet him
Travel route selection specific needs.
The content of the invention
It is an object of the invention to provide a kind of city health trip method and system for planning based on Floating Car method, solve
Fix, monitor high limited amount, monitoring cost, Monitoring Data renewal time length, particular locations PM2.5 values not in existing monitoring point
The problems such as enough accurate.
The technical scheme for realizing the object of the invention is：A kind of city health trip planing method based on Floating Car method, side
Method is specially：
Step 1, the PM2.5 detected values and geographical coordinate of collection vehicle position, and upload onto the server, form city
PM2.5 detected value data acquisition systems；
Step 2, the size for representing PM2.5 detected values by different colors on the electronic map；
Step 3, with reference to the PM2.5 detected values and path distance between departure place and destination, it is determined that healthy trip route.
A kind of city health trip planning system based on Floating Car method, including vehicle-mounted detection device and server two
Point；
The vehicle-mounted detection device includes locating module, PM2.5 detection modules, microprocessor control module and data communication
Module, the server include data receiver parsing module, server background module, data memory module, PM2.5 distribution maps and shown
Show module and path planning module；
The locating module is connected with microprocessor control module, and the vehicle geographical coordinate collected is sent into microprocessor
Device control module；
The PM2.5 detection modules are connected with microprocessor control module, and the electric signal of collection is sent into control module,
Control module converts electrical signals to PM2.5 detected values；
The microprocessor control module is connected with data communication module, and microprocessor control module is by after smothing filtering
The time of PM2.5 detected values, the geographical coordinate of corresponding test point and detection is transmitted to data communication module, data communication mould
Block is connected with data receiver parsing module, and the information received is sent into data receiver parsing module；
The data receiver parsing module is connected with server background module, by the PM2.5 detected values parsed, accordingly
The geographical coordinate of test point and the time of detection are sent to server background module, or server response message is sent into data
Communication module；
The data memory module is connected with server background module, PM2.5 detected values that storing and resolving comes out, corresponding inspection
The geographical coordinate of measuring point and the time of detection；
The PM2.5 distribution maps display module is connected with server background module, according to the PM2.5 detected values of reading, inspection
Point position and detection time, pass through the different sizes for representing PM2.5 detected values of color on map；
The path planning module is connected with server background module, according to starting point and destination, with reference to from storage mould
The PM2.5 values and latitude and longitude information that block is read determine healthy trip route.
Compared with prior art, its remarkable advantage is the present invention：
(1) the Floating Car investigation method of road traffic specialty is innovatively used in the detection of city PM2.5 values by the present invention,
To realize the detection to whole city PM2.5；
(2) present invention can intuitively find out the pollution condition in whole city by PM2.5 distribution maps, while can be real-time
Inquire about the PM2.5 values of specified place；
(3) it is for selection can to provide healthy optimal path for the resident for having plan of travel by the present invention；
(4) present invention can overcome the shortcomings of fixed point monitoring cost is too high, monitoring point is limited；
(5) present invention is by the way that vehicle-mounted PM2.5 detection devices are loaded into the mobile vehicle of city, by vehicle moving process
PM2.5 values, geographical coordinate and the detection time detected be sent on server by GPRS, and server end is according to being collected into
Data form PM2.5 distribution map, according to user is given or the starting point of positioning of mobile equipment and final destination, with reference to
Data draw healthy path planning by modified dijkstra's algorithm, and the mobile device of user is only needed by browser just
These data can easily be had access to.
Brief description of the drawings
Fig. 1 is the structured flowchart of the health trip planning system of the city based on Floating Car method of the present invention.
Embodiment
With reference to Fig. 1, a kind of city health trip planing method based on Floating Car method, comprise the following steps：
Step 1, the PM2.5 detected values and geographical coordinate of collection vehicle position, and upload onto the server, form city
Each position PM2.5 detected value data acquisition systems；
Step 2, the size for representing PM2.5 detected values by different colors on the electronic map；PM2.5 values and color
Corresponding relation is：
ColorRGB=PMArray*BaseRGB
Wherein, ColorRGB is color corresponding to PM2.5 detected values, BaseRGB=[1 0 255]T, For the PM2.5 numerical value in data acquisition system；
Step 3, with reference to the PM2.5 detected values and path distance between departure place and destination, it is determined that healthy trip route；
Specially：
Step 3-1, PMD are the weights of PM2.5 values and path distance, and its calculation formula is：
Wherein, Dis is two adjacent corners summits or starting point and adjacent corners summit or destination and adjacent corners top
Path distance between point,PM2.5 averages between the respective stretch, a, b are positive number and a+b=1；It is described to turn
Angular vertex is the place of crossing fork on map；
Step 3-2, starting point is arranged to source point, now total weight value is 0, meanwhile, construct an optimal path point set, point
It is sky when collecting initial；
Step 3-3, the PMD values with source point adjacent spots are ranked up, and the PMD values of minimum are added in total weight value
Go, then source point is added to optimal path point and concentrated；
Step 3-4, using the point of minimum PMD values now adjacent with source point as new source point, if new source point is to setting out
The PMD values of point are smaller than total weight value, then using the PMD values as new total weight value, and last point of optimal path point set are picked
Remove, be then back to and perform step 3-3, otherwise directly return and perform step 3-3；
Step 3-5, repeat step 3-3 and 3-4, until destination turns into new source point, the optimal road finally determined
Footpath point set is healthy trip route.
Preferably, a=0.6, b=0.4.
With reference to Fig. 1, a kind of city health trip planning system based on Floating Car method of the invention, including vehicle-mounted detection are set
Standby and server two parts；
The vehicle-mounted detection device includes locating module, PM2.5 detection modules, microprocessor control module and data communication
Module, the server include data receiver parsing module, server background module, data memory module, PM2.5 distribution maps and shown
Show module and path planning module this five modules；
The locating module is connected with microprocessor control module, and the vehicle geographical coordinate collected is sent into microprocessor
Device control module；
The PM2.5 detection modules are connected with microprocessor control module, and the electric signal of collection is sent into control module,
Control module converts electrical signals to PM2.5 detected values；
The microprocessor control module is connected with data communication module, and microprocessor control module is by after smothing filtering
The time of PM2.5 detected values, the geographical coordinate of corresponding test point and detection is transmitted to data communication module, data communication mould
Block is connected with data receiver parsing module, and the information received is sent into data receiver parsing module；
The data receiver parsing module is connected with server background module, by the PM2.5 detected values parsed, accordingly
The geographical coordinate of test point and the time of detection are sent to server background module, or server response message is sent into data
Communication module；
The data memory module is connected with server background module, PM2.5 detected values that storing and resolving comes out, corresponding inspection
The geographical coordinate of measuring point and the time of detection；
The PM2.5 distribution maps display module is connected with server background module, according to the PM2.5 detected values of reading, inspection
Point position and detection time, pass through the different sizes for representing PM2.5 detected values of color on map；
The path planning module is connected with server background module, according to starting point and destination, with reference to from storage mould
The PM2.5 values and latitude and longitude information that block is read determine healthy trip route.
The server is Cloud Server ECS, and the data memory module is MySQL database or cloud number on server
According to storehouse RDS.
The corresponding relation of PM2.5 values and color is on electronic map：
ColorRGB=PMArray*BaseRGB
Wherein, ColorRGB is color corresponding to PM2.5 detected values, BaseRGB=[1 0 255]T, For the PM2.5 numerical value in data acquisition system.
The healthy trip route planning module determines healthy trip route according to modified dijkstra's algorithm, specifically
For：
PMD is the weights of PM2.5 values and path distance, and its calculation formula is：
Wherein, Dis is two adjacent corners summits or starting point and adjacent corners summit or destination and adjacent corners top
Path distance between point,For should be section PM2.5 averages, a, b are positive number and a+b=1；It is described to turn
Angular vertex is the place of crossing fork on map；
Since departure place, optimal path point set is constructed according to the minimum principle of total weight value, optimal path point set is strong
Health trip route, it is specially：
The first step, starting point is arranged to source point, now total weight value is 0, while constructs an optimal path point set, point set
It is sky when initial；
Second step, the PMD values with source point adjacent spots are ranked up, and the PMD values of minimum are added in total weight value,
Source point optimal path point is added to again to concentrate；
3rd step, using the point of minimum PMD values now adjacent with source point as new source point, if new source point is to starting point
PMD values it is smaller than total weight value, then using the PMD values as new total weight value, and by optimal path point set last point reject,
Execution second step is then back to, otherwise directly returns and performs second step；
4th step, second step and the 3rd step are repeated, until destination turns into new source point, the optimal path point finally obtained
Collection is healthy trip route.
Preferably, a=0.6, b=0.4.
With reference to specific embodiment, the invention will be further described：
Embodiment
With reference to Fig. 1, a kind of city health trip planning system based on Floating Car method, including model DN7C3A006
PM2.5 detection modules, model UM220- III d GPS locating module, model LPC2368 microprocessor control module, type
Number be SIM900A data communication module, data receiver parsing module, server background module, data memory module, PM2.5
Distribution map display module and path planning module；
Vehicle-mounted detection device is arranged on city floating vehicle；
The PM2.5 values detected are sent to control module by PM2.5 detection modules by AD thief hatch；
D GPS locating module asks the current latitude and longitude coordinates of the mobile unit and time to satellite, is sent to by serial ports
Control module；
LPC2368 receives PM2.5 AD sampled values and carries out data processing to it, and PM2.5 values, corresponding longitude and latitude are sat
Mark and detection time are sent to SIM900A data communication modules by agreement, are received according to the protocol analysis SIM900A of formulation
Server response message；
SIM900A data communication modules send the response message of data and the reception server to server；
Data receiver and the asynchronous UDP signal procedures that parsing module is running background, receive parsing SIM900A and send back
Detection data, the response message of server is sent to SIM900A；
Server background module will receive and the data of parsing are stored to data memory module, be shown according to PM2.5 distribution maps
Module and the demand of healthy trip route planning module read data from data memory module；
Data memory module is MySQL database or independent cloud database RDS on server；
The data that PM2.5 distribution maps display module will be read out in database, in corresponding map location according to PM2.5
Value is shown as different colors, and numerical value is labeled in each color block, and the corresponding relation of PM2.5 numerical value and color is
ColorRGB=PMArray*BaseRGB
Wherein, ColorRGB is color corresponding to PM2.5 detected values, BaseRGB=[1 0 255]T, For the PM2.5 numerical value in data acquisition system.
The starting point and destination that healthy trip route planning module determines according to user, sat with reference to PM2.5 data, longitude and latitude
Mark draws the planning in healthy path according to modified dijkstra's algorithm, and modified dijkstra's algorithm is exactly by starting point, respectively
Corner point and destination composition point set, and each point is connected two-by-two and determines their distance, and calculate point-to-point transmission PM2.5
Average, it is according to formula computed improved weights PM2.5 distance PMD, formula by distance and average
Wherein, Dis is two adjacent corners summits or starting point and adjacent corners summit or destination and adjacent corners top
Path distance between point,For should be section PM2.5 averages；
Since starting point, optimal path point set is constructed according to the minimum principle of total weight value, optimal path point set is strong
Health trip route.
Finally, obtained path planning is presented to user by the form of map.
Claims (7)
1. a kind of city health trip planing method based on Floating Car method, it is characterised in that comprise the following steps：
Step 1, the PM2.5 detected values and geographical coordinate of collection vehicle position, and upload onto the server, form city
PM2.5 detected value data acquisition systems；
Step 2, the size for representing PM2.5 detected values by different colors on the electronic map；
Step 3, with reference to the PM2.5 detected values and path distance between departure place and destination, it is determined that healthy trip route；Specifically
For：
Step 3-1, PMD are the weights of PM2.5 values and path distance, and its calculation formula is：
<mrow>
<mi>P</mi>
<mi>M</mi>
<mi>D</mi>
<mo>=</mo>
<mi>a</mi>
<mo>*</mo>
<mi>D</mi>
<mi>i</mi>
<mi>s</mi>
<mo>+</mo>
<mi>b</mi>
<mo>*</mo>
<mover>
<mrow>
<mi>P</mi>
<mi>M</mi>
<msub>
<mn>2.5</mn>
<mrow>
<mi>u</mi>
<mi>g</mi>
<mo>/</mo>
<msup>
<mi>m</mi>
<mn>3</mn>
</msup>
</mrow>
</msub>
</mrow>
<mo>&OverBar;</mo>
</mover>
</mrow>
Wherein, Dis is between two adjacent corners summits or starting point and adjacent corners summit or destination and adjacent corners summit
Path distance,For should be section PM2.5 averages, a, b are positive number and a+b=1；The turning top
The place that point diverges for crossing on map；
Step 3-2, starting point is arranged to source point, now total weight value is 0, while constructs an optimal path point set, at the beginning of point set
It is sky during the beginning；
Step 3-3, the PMD values with source point adjacent spots are ranked up, and the PMD values of minimum are added in total weight value, then
Source point is added to optimal path point to concentrate；
Step 3-4, using the point of minimum PMD values now adjacent with source point as new source point, if new source point arrives starting point
PMD values are smaller than total weight value, then using the PMD values as new total weight value, and last point of optimal path point set are rejected, so
Return afterwards and perform step 3-3, otherwise directly return and perform step 3-3；
Step 3-5, repeat step 3-3 and 3-4, until destination turns into new source point, the optimal path point set finally obtained is i.e.
For healthy trip route.
2. the city health trip planing method according to claim 1 based on Floating Car method, it is characterised in that electronically
The corresponding relation of PM2.5 values and color is on figure：
ColorRGB=PMArray*BaseRGB
Wherein, ColorRGB is color corresponding to PM2.5 detected values, BaseRGB=[1 0 255]T, For the PM2.5 numerical value in data acquisition system.
3. the city health trip planing method according to claim 1 based on Floating Car method, it is characterised in that a=
0.6, b=0.4.
4. a kind of city health trip planning system based on Floating Car method, it is characterised in that including vehicle-mounted detection device kimonos
Business device two parts；
The vehicle-mounted detection device includes locating module, PM2.5 detection modules, microprocessor control module and data communication mould
Block, the server include data receiver parsing module, server background module, data memory module, PM2.5 distribution maps and shown
Module and path planning module；
The locating module is connected with microprocessor control module, and the vehicle geographical coordinate collected is sent into microprocessor control
Molding block；
The PM2.5 detection modules are connected with microprocessor control module, and the electric signal of collection is sent into control module, control
Module converts electrical signals to PM2.5 detected values；
The microprocessor control module is connected with data communication module, and microprocessor control module is by after smothing filtering
The time of PM2.5 detected values, the geographical coordinate of corresponding test point and detection is transmitted to data communication module, data communication mould
Block is connected with data receiver parsing module, and the information received is sent into data receiver parsing module；
The data receiver parsing module is connected with server background module, by the PM2.5 detected values parsed, corresponding detection
The geographical coordinate of point and the time of detection are sent to server background module, or server response message is sent into data communication
Module；
The data memory module is connected with server background module, PM2.5 detected values, the corresponding test point of storing and resolving out
Geographical coordinate and detection time；
The PM2.5 distribution maps display module is connected with server background module, according to PM2.5 detected values, the test point of reading
Position and detection time, pass through the different sizes for representing PM2.5 detected values of color on map；
The path planning module is connected with server background module, according to starting point and destination, is read with reference to from memory module
The PM2.5 values and latitude and longitude information taken determines healthy trip route；
The healthy trip route planning module determines healthy trip route according to modified dijkstra's algorithm, is specially：
PMD is the weights of PM2.5 values and path distance, and its calculation formula is：
<mrow>
<mi>P</mi>
<mi>M</mi>
<mi>D</mi>
<mo>=</mo>
<mi>a</mi>
<mo>*</mo>
<mi>D</mi>
<mi>i</mi>
<mi>s</mi>
<mo>+</mo>
<mi>b</mi>
<mo>*</mo>
<mover>
<mrow>
<mi>P</mi>
<mi>M</mi>
<msub>
<mn>2.5</mn>
<mrow>
<mi>u</mi>
<mi>g</mi>
<mo>/</mo>
<msup>
<mi>m</mi>
<mn>3</mn>
</msup>
</mrow>
</msub>
</mrow>
<mo>&OverBar;</mo>
</mover>
</mrow>
Wherein, Dis is between two adjacent corners summits or starting point and adjacent corners summit or destination and adjacent corners summit
Path distance,For should be section PM2.5 averages, a, b are positive number and a+b=1；The turning top
The place that point diverges for crossing on map；
Since departure place, optimal path point set is determined according to the principle that total weight value is minimum, optimal path point set is that health goes out
Walking along the street footpath, it is specially：
The first step, starting point is arranged to source point, now total weight value is 0, while constructs an optimal path point set, and point set is initial
When for sky；
Second step, the PMD values with source point adjacent spots are ranked up, and the PMD values of minimum are added in total weight value, then
Source point is added to optimal path point concentration；
3rd step, using the point of minimum PMD values now adjacent with source point as new source point, if new source point arrives starting point
PMD values are smaller than total weight value, then using the PMD values as new total weight value, and last point of optimal path point set are rejected, so
Return afterwards and perform second step, otherwise directly return and perform second step；
4th step, second step and the 3rd step are repeated, until destination turns into new source point, the optimal path point set finally obtained is i.e.
For healthy trip route.
5. the city health trip planning system according to claim 4 based on Floating Car method, it is characterised in that the clothes
Business device is Cloud Server ECS, and the data memory module is MySQL database or cloud database RDS on server.
6. the city health trip planning system according to claim 4 based on Floating Car method, it is characterised in that electronically
The corresponding relation of PM2.5 values and color is on figure：
ColorRGB=PMArray*BaseRGB
Wherein, ColorRGB is color corresponding to PM2.5 detected values, BaseRGB=[1 0 255]T,PM2.5ug/m3For the PM2.5 numerical value in data acquisition system.
7. the city health trip planning system according to claim 4 based on Floating Car method, it is characterised in that a=
0.6, b=0.4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510412439.XA CN105043401B (en) | 2015-07-14 | 2015-07-14 | City health trip method and system for planning based on Floating Car method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510412439.XA CN105043401B (en) | 2015-07-14 | 2015-07-14 | City health trip method and system for planning based on Floating Car method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105043401A CN105043401A (en) | 2015-11-11 |
| CN105043401B true CN105043401B (en) | 2018-04-03 |
Family
ID=54450134
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510412439.XA Active CN105043401B (en) | 2015-07-14 | 2015-07-14 | City health trip method and system for planning based on Floating Car method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105043401B (en) |
Families Citing this family (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105547310B (en) * | 2015-12-09 | 2018-10-02 | 南京理工大学 | A kind of path planning apparatus and method based on the trip of PM2.5 health |
| CN106052704A (en) * | 2016-05-26 | 2016-10-26 | 北京小米移动软件有限公司 | Method and device for recommending routes |
| CN106128143A (en) * | 2016-08-18 | 2016-11-16 | 浙江吉利控股集团有限公司 | A kind of car networked system with road air quality information and control method thereof |
| CN106290731A (en) * | 2016-08-19 | 2017-01-04 | 广东欧珀移动通信有限公司 | A kind of air quality information detection method and device |
| CN106767818B (en) * | 2016-12-05 | 2021-04-02 | 北京仿真中心 | Wearable electronic equipment and healthy trip system thereof |
| CN107084912A (en) * | 2017-06-14 | 2017-08-22 | 河海大学常州校区 | A kind of inexpensive monitoring system of Atmospheric particulates and Monitoring Data filtering method |
| BR102018013478A2 (en) | 2017-07-27 | 2019-03-26 | Microjet Technology Co., Ltd. | METHOD FOR PROVIDING AIR QUALITY INFORMATION |
| CN109307734A (en) * | 2017-07-27 | 2019-02-05 | 研能科技股份有限公司 | The method of air quality information is provided |
| CN109307528A (en) * | 2017-07-27 | 2019-02-05 | 研能科技股份有限公司 | The system of air quality information is provided |
| CN109307527A (en) * | 2017-07-27 | 2019-02-05 | 研能科技股份有限公司 | The method of air quality information is provided |
| CN107219157A (en) * | 2017-07-29 | 2017-09-29 | 山东诺方电子科技有限公司 | It is a kind of to carry out atmosphere particle monitoring system using public vehicles |
| CN108827842A (en) * | 2018-04-13 | 2018-11-16 | 安徽新华学院 | A kind of air quality optimum path planning method and system based on PM2.5 |
| CN108389417B (en) * | 2018-04-24 | 2019-11-05 | 西南交通大学 | A kind of hybrid subscriber induced travel method considering air pollution exposure |
| CN108845076A (en) * | 2018-04-25 | 2018-11-20 | 北京市电话工程有限公司 | A kind of air-quality monitoring system of cell |
| CN109250807A (en) * | 2018-10-25 | 2019-01-22 | 罗德斌 | A kind of sewage aeration machine people |
| CN111246377A (en) * | 2018-11-29 | 2020-06-05 | 研能科技股份有限公司 | Air quality reporting method |
| CN110057982A (en) * | 2019-05-17 | 2019-07-26 | 湖南雅一生物科技有限公司 | A kind of outdoor environment monitoring analysis system and method |
| CN110672482A (en) * | 2019-09-10 | 2020-01-10 | 烟台海德专用汽车有限公司 | Air dust intellectual detection system and dust fall operation dispatch system |
| CN113418534A (en) * | 2021-06-30 | 2021-09-21 | 一汽奔腾轿车有限公司 | Vehicle-mounted intelligent health map system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6382014B1 (en) * | 1998-01-05 | 2002-05-07 | The United States Of America As Represented By The Adminstrator Of The U.S. Environmental Protection Agency | Real-time on-road vehicle exhaust gas modular flowmeter and emissions reporting system |
| WO2009011295A1 (en) * | 2007-07-18 | 2009-01-22 | Toyota Jidosha Kabushiki Kaisha | Route planning device and method, cost evaluation device and mobile body |
| CN101405573A (en) * | 2006-06-27 | 2009-04-08 | 通腾科技股份有限公司 | Navigation apparatus and method for providing alarm for speed trap |
| CN202836575U (en) * | 2012-09-29 | 2013-03-27 | 百年金海安防科技有限公司 | Intelligent safety protection navigator |
| CN202869925U (en) * | 2012-07-31 | 2013-04-10 | 深圳市赛格导航科技股份有限公司 | Air quality detection system |
| CN103913405A (en) * | 2014-03-26 | 2014-07-09 | 刘若鸿 | Fine particle concentration detection method based on internet of vehicles |
| CN104006821A (en) * | 2014-05-28 | 2014-08-27 | 英华达（南京）科技有限公司 | Navigation method and system |
| CN104122232A (en) * | 2014-07-28 | 2014-10-29 | 无锡北斗星通信息科技有限公司 | Ship control device based on gas analysis |
| CN104502247A (en) * | 2014-12-24 | 2015-04-08 | 上海斐讯数据通信技术有限公司 | Air quality detection system based on mobile terminal and detection method |
-
2015
- 2015-07-14 CN CN201510412439.XA patent/CN105043401B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6382014B1 (en) * | 1998-01-05 | 2002-05-07 | The United States Of America As Represented By The Adminstrator Of The U.S. Environmental Protection Agency | Real-time on-road vehicle exhaust gas modular flowmeter and emissions reporting system |
| CN101405573A (en) * | 2006-06-27 | 2009-04-08 | 通腾科技股份有限公司 | Navigation apparatus and method for providing alarm for speed trap |
| WO2009011295A1 (en) * | 2007-07-18 | 2009-01-22 | Toyota Jidosha Kabushiki Kaisha | Route planning device and method, cost evaluation device and mobile body |
| CN202869925U (en) * | 2012-07-31 | 2013-04-10 | 深圳市赛格导航科技股份有限公司 | Air quality detection system |
| CN202836575U (en) * | 2012-09-29 | 2013-03-27 | 百年金海安防科技有限公司 | Intelligent safety protection navigator |
| CN103913405A (en) * | 2014-03-26 | 2014-07-09 | 刘若鸿 | Fine particle concentration detection method based on internet of vehicles |
| CN104006821A (en) * | 2014-05-28 | 2014-08-27 | 英华达（南京）科技有限公司 | Navigation method and system |
| CN104122232A (en) * | 2014-07-28 | 2014-10-29 | 无锡北斗星通信息科技有限公司 | Ship control device based on gas analysis |
| CN104502247A (en) * | 2014-12-24 | 2015-04-08 | 上海斐讯数据通信技术有限公司 | Air quality detection system based on mobile terminal and detection method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105043401A (en) | 2015-11-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105043401B (en) | City health trip method and system for planning based on Floating Car method | |
| CN106950334B (en) | A kind of moving monitoring system of spatially distributed urban air environmental quality | |
| EP3318871B1 (en) | Internet of vehicles-based air quality detecting system | |
| CN102682590B (en) | Method and device for processing traffic information in real time | |
| CN104318768B (en) | Self adaptation transport information tile map generation system and method based on Hadoop | |
| CN105389986B (en) | It is a kind of based on real-time road detection method and system with goods platform | |
| CN106595682A (en) | Differential updating method and system of map data, and server | |
| CN104316068A (en) | Method, device and system for navigation of electric automobile | |
| CN105674995A (en) | Method for acquiring commuting route based on user's travel locus, and apparatus thereof | |
| CN102223602A (en) | Method, terminals and system for sharing position information | |
| CN101587650A (en) | GPS bus transfering navigation method and system thereof | |
| CN103177561A (en) | Method and system for generating bus real-time traffic status | |
| CN103794061A (en) | Method for calculating road fused travel speed based on various positioning data | |
| CN105136160A (en) | Mobile terminal-augmented reality technology-based close range optimal bus station navigation method | |
| CN102865876A (en) | Navigation method, server and system | |
| CN107687862A (en) | Scenic spot visit navigation methods and systems, car-mounted terminal and vehicle | |
| CN106683372A (en) | Underground pipeline sensing signal collecting and positioning device and system | |
| CN103674048A (en) | Dynamic intelligent navigation method based on 3G (3-Generation) network | |
| CN110514255A (en) | Motor vehicle emission quantity measuring method and its detection system | |
| CN207164984U (en) | Moving monitoring system for real-time display road air environmental quality level of pollution | |
| CN106595681A (en) | Differential updating method for path data, system and server | |
| CN113543052A (en) | Mobile phone signaling data-based city group traffic contact strength measuring method | |
| CN110389095B (en) | City environment detection and city planning method and system based on virtual simulation experience | |
| CN105372690A (en) | GPS and inertial measurement unit-based train combined positioning system | |
| CN205971370U (en) | Positioning system suitable for moderate -low speed magnetic levitation train |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210209 Address after: 210000 room 505, 5th floor, building S12, No.26 GuangYue Road, Qixia street, Qixia District, Nanjing City, Jiangsu Province Patentee after: Jiangsu Jifan Transportation Technology Co.,Ltd. Address before: 210094 Xuanwu District, Jiangsu, Xiaolingwei 200, Nanjing Patentee before: NANJING University OF SCIENCE AND TECHNOLOGY |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20210311 Address after: 210046 room 274, No.1 Tianzuo Road, Sheshan Xingcheng, Xigang street, Qixia District, Nanjing City, Jiangsu Province Patentee after: Nanjing Aites Technology Co.,Ltd. Address before: 210000 room 505, 5th floor, building S12, No.26 GuangYue Road, Qixia street, Qixia District, Nanjing City, Jiangsu Province Patentee before: Jiangsu Jifan Transportation Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| CB03 | Change of inventor or designer information |
Inventor after: Xu Jinhe Inventor after: Guo Tangyi Inventor after: Cai Liqin Inventor after: Zhu Yunxia Inventor after: Zou Cheng Inventor after: Liu Kang Inventor after: Jiang Xuejiao Inventor before: Xu Jinhe Inventor before: Guo Tangyi Inventor before: Cai Liqin Inventor before: Zhu Yunxia Inventor before: Zou Cheng Inventor before: Shao Fei Inventor before: Liu Kang Inventor before: Jiang Xuejiao |
|
| CB03 | Change of inventor or designer information |