CN113048996A - Hazardous chemical road transport driver portrait generation method based on position data - Google Patents
Hazardous chemical road transport driver portrait generation method based on position data Download PDFInfo
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- CN113048996A CN113048996A CN202110191828.XA CN202110191828A CN113048996A CN 113048996 A CN113048996 A CN 113048996A CN 202110191828 A CN202110191828 A CN 202110191828A CN 113048996 A CN113048996 A CN 113048996A
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 239000000383 hazardous chemical Substances 0.000 title claims description 21
- 230000032258 transport Effects 0.000 claims abstract description 89
- 239000000126 substance Substances 0.000 claims abstract description 61
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 12
- 238000004364 calculation method Methods 0.000 claims description 3
- CSCPPACGZOOCGX-UHFFFAOYSA-N Acetone Chemical compound CC(C)=O CSCPPACGZOOCGX-UHFFFAOYSA-N 0.000 description 3
- UHOVQNZJYSORNB-UHFFFAOYSA-N Benzene Chemical compound C1=CC=CC=C1 UHOVQNZJYSORNB-UHFFFAOYSA-N 0.000 description 3
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 3
- YXFVVABEGXRONW-UHFFFAOYSA-N Toluene Chemical compound CC1=CC=CC=C1 YXFVVABEGXRONW-UHFFFAOYSA-N 0.000 description 3
- KBPLFHHGFOOTCA-UHFFFAOYSA-N 1-Octanol Chemical compound CCCCCCCCO KBPLFHHGFOOTCA-UHFFFAOYSA-N 0.000 description 2
- KAKZBPTYRLMSJV-UHFFFAOYSA-N Butadiene Chemical compound C=CC=C KAKZBPTYRLMSJV-UHFFFAOYSA-N 0.000 description 2
- LRHPLDYGYMQRHN-UHFFFAOYSA-N N-Butanol Chemical compound CCCCO LRHPLDYGYMQRHN-UHFFFAOYSA-N 0.000 description 2
- ISWSIDIOOBJBQZ-UHFFFAOYSA-N Phenol Chemical compound OC1=CC=CC=C1 ISWSIDIOOBJBQZ-UHFFFAOYSA-N 0.000 description 2
- PPBRXRYQALVLMV-UHFFFAOYSA-N Styrene Chemical compound C=CC1=CC=CC=C1 PPBRXRYQALVLMV-UHFFFAOYSA-N 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- IAYPIBMASNFSPL-UHFFFAOYSA-N Ethylene oxide Chemical compound C1CO1 IAYPIBMASNFSPL-UHFFFAOYSA-N 0.000 description 1
- CTQNGGLPUBDAKN-UHFFFAOYSA-N O-Xylene Chemical compound CC1=CC=CC=C1C CTQNGGLPUBDAKN-UHFFFAOYSA-N 0.000 description 1
- IKHGUXGNUITLKF-XPULMUKRSA-N acetaldehyde Chemical compound [14CH]([14CH3])=O IKHGUXGNUITLKF-XPULMUKRSA-N 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 231100000481 chemical toxicant Toxicity 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 239000002283 diesel fuel Substances 0.000 description 1
- -1 ethylene, propylene, 1-butene Chemical class 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000003502 gasoline Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 239000003440 toxic substance Substances 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 239000008096 xylene Substances 0.000 description 1
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
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Automation & Control Theory (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention provides a dangerous chemical road transportation driver portrait generation method based on position data, which comprises the following steps: planning a preset driving route in advance when a transport driver transports dangerous chemicals each time; the method comprises the steps that when a transport driver transports dangerous chemicals each time, the position of a transport vehicle is obtained in real time, and an actual driving route of the transport driver when the transport driver transports the dangerous chemicals each time is generated; comparing deviation information of an actual driving route and a preset driving route in each dangerous chemical delivery process of a transport driver, wherein the deviation information at least comprises the quantity of deviation of the routes in each dangerous chemical delivery process and the distance of a deviation road section corresponding to each deviation; calculating the average deviation rate and the average route deviation times when the transport driver transports the dangerous chemicals, evaluating the driving habits of the transport driver for transporting the dangerous chemicals, and establishing a transport driver portrait. The invention provides a dangerous chemical road transport driver portrait generation method based on position data.
Description
Technical Field
The invention relates to the field of road transportation of dangerous chemicals. More particularly, the present invention relates to a hazardous chemicals road transport driver representation generation method based on location data.
Background
The dangerous chemicals refer to highly toxic chemicals and other chemicals which have the properties of toxicity, corrosion, explosion, combustion supporting and the like and have harm to human bodies, facilities and the environment. The main hazardous chemical substances related to common petrochemical product transportation and road transportation of China oil transportation Limited company comprise: gasoline, diesel oil, crude oil, petroleum asphalt, pure benzene, etc. The main varieties of organic raw materials produced by the China oil and gas group Limited company are as follows: 15 kinds of ethylene, propylene, 1-butene, butadiene, toluene, xylene, methanol, butanol, octanol, ethylene oxide, acetaldehyde, styrene, phenol, acetone, naphtha, etc. In case of accident, the above 20 dangerous chemicals are easy to leak and pollute the surrounding environment. The current road transportation of dangerous chemicals has higher requirements on transportation drivers, but the situation that part of the transportation drivers do not drive according to the specified route when transporting the dangerous chemicals is avoided.
Disclosure of Invention
The invention aims to provide a dangerous chemical road transport driver portrait generation method based on position data.
To achieve these objects and other advantages and in accordance with the purpose of the invention, there is provided a hazardous chemicals road transport driver representation generating method based on position data, comprising the steps of:
planning a preset driving route in advance when a transport driver transports dangerous chemicals each time;
the method comprises the steps that when a transport driver transports dangerous chemicals each time, the position of a transport vehicle is obtained in real time, and an actual driving route of the transport driver when the transport driver transports the dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in each dangerous chemical delivery process of a transport driver, wherein the deviation information at least comprises the quantity of deviation of the routes in each dangerous chemical delivery process and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times when the transport driver transports the dangerous chemicals, evaluating the driving habits of the transport driver for transporting the dangerous chemicals, and establishing a transport driver portrait.
Preferably, in the method for generating a driver's picture of a road transport vehicle for hazardous chemicals based on location data, the method for calculating the average deviation ratio when the transport driver transports the hazardous chemicals comprises:
wherein S isi' is the sum of the distances of the deviated road sections in the ith transportation process of the transport driver for the dangerous chemicals; siThe distance for the transport driver to transport the dangerous chemicals for the ith time; n is the number of dangerous chemical deliveries.
Preferably, in the method for generating a driver profile of a dangerous chemical road transportation based on position data, the driver profile further includes overspeed information, fatigue driving information and emergency warning information for calculating the driver transporting the dangerous chemical.
Preferably, in the method for generating a driver profile of a hazardous chemical road transportation based on location data, the deviation information further includes traffic information of each deviation section and traffic information of a predetermined section in a predetermined driving route replaced by each deviation section, and when the driving habit of the transportation driver for transporting the hazardous chemical is evaluated, if the traffic information of any deviation section is better than the traffic information of the predetermined section in the predetermined driving route replaced by the deviation section, the deviation section is removed from the deviation information.
Preferably, in the method for generating driver portrait for hazardous chemical road transportation based on location data, the traffic weight of each deviation road section is calculated according to the road condition information of each deviation road section, the traffic weight of each preset road section is calculated according to the road condition information of each preset road section, and if the traffic weight of any deviation road section is smaller than the traffic weight of the corresponding preset road section, the deviation road section is removed from the deviation information.
Preferably, in the method for generating driver's figure for hazardous chemical road transportation based on location data, the traffic information of each deviation road section includes the length, passing time and passing fee of the road section, and the passing weight of the deviation road section is calculated as follows:
C1＝Wa×L1+Wb×T1+Wc×Q1 (2)
wherein, C1The traffic weight value of the deviation road section is obtained; waIs the length weight of the deviation road section; l is1Is the length of the deviation road section; wbTime weight of the deviation road section; t is1Is the transit time of the deviation road section; wcThe traffic weight of the deviation road section; q1The traffic cost of the deviation road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section comprises the following steps:
C2＝Wd×L2+We×T2+Wf×Q2 (3)
wherein, C2The traffic weight value is the traffic weight value of the preset road section; wdA length weight for a predetermined road segment; l is2Is the length of the predetermined road segment; weA time weight for a predetermined road segment; t is2Estimated passing time for a predetermined road section; wfA traffic weight for a predetermined road segment; q2The estimated toll for the predetermined section of road.
Preferably, in the method for generating driver's picture of road transportation of hazardous chemicals based on location data, if any deviation road segment is located in a non-downtown area, the passing time of the deviation road segment is less than the passing time of the corresponding predetermined road segment, and the corresponding predetermined road segment is located in an downtown area, the deviation road segment is removed from the deviation information.
Preferably, in the method for generating driver's picture of dangerous chemical road transportation based on location data, the road returning condition information of each predetermined section includes real-time traffic conditions of the section when the vehicle passes through the corresponding deviation section, and if any deviation section is located in a non-downtown area, the corresponding predetermined section is located in an downtown area and traffic jam occurs, the deviation section is removed from the deviation information.
Preferably, in the method for generating the driver's picture of the road transportation of the hazardous chemicals based on the position data, if any deviation road section is removed from the deviation information three times, the deviation road section is replaced with the corresponding predetermined road section.
The method for generating the driver portrait of the road transportation driver of the dangerous chemicals based on the position data carries out comprehensive transportation risk assessment on the transportation driver so as to carry out relevant processing such as scheduling, transportation business training and the like in time, thereby reducing the safety risk of the road transportation of the dangerous chemicals to the minimum
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Detailed Description
The present invention is further described in detail below with reference to examples so that those skilled in the art can practice the invention with reference to the description.
The embodiment of the invention provides a dangerous chemical road transportation driver portrait generating method based on position data, which comprises the following steps:
planning a preset driving route in advance when a transport driver transports dangerous chemicals each time;
the method comprises the steps that when a transport driver transports dangerous chemicals each time, the position of a transport vehicle is obtained in real time, and an actual driving route of the transport driver when the transport driver transports the dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in each dangerous chemical delivery process of a transport driver, wherein the deviation information at least comprises the quantity of deviation of the routes in each dangerous chemical delivery process and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times when the transport driver transports the dangerous chemicals, evaluating the driving habit of the transport driver for transporting the dangerous chemicals, and establishing a transport driver portrait;
the method for calculating the average deviation rate when the transport driver transports the dangerous chemicals comprises the following steps:
wherein S isi' is the sum of the distances of the deviated road sections in the ith transportation process of the transport driver for the dangerous chemicals; siThe distance for the transport driver to transport the dangerous chemicals for the ith time; n is the number of dangerous chemical deliveries.
In the embodiment, after deviation information of an actual driving route and a preset driving route in the process that a transport driver transports dangerous chemicals each time is obtained, the average deviation rate and the average route deviation times of the transport driver during the transportation of the dangerous chemicals are calculated, the average deviation rate and the average route deviation times of the transport driver can be limited in advance, different levels of punishment or rewarding are carried out at different degrees, meanwhile, a transport driver figure is established, and a transport driver dispatching commander can easily know the driving habits and violation risks of the transport driver and analyze and dispatch the driving habits and the violation risks.
Preferably, as another embodiment of the present invention, the driver image further includes overspeed information, fatigue driving information and emergency warning information for calculating the time when the driver transports dangerous chemicals.
Preferably, as another embodiment of the present invention, the deviation information further includes traffic information of each deviation section and traffic information of a predetermined section in the predetermined driving route replaced by each deviation section, and when the driving habit of the transport driver for transporting the hazardous chemical is evaluated, if the traffic information of any deviation section is better than the traffic information of the predetermined section in the predetermined driving route replaced by the deviation section, the deviation section is removed from the deviation information;
specifically, a traffic weight of each section of the deviation road section is calculated according to the road condition information of each section of the deviation road section, meanwhile, the traffic weight of each section of the preset road section is calculated according to the road condition information of each section of the preset road section, and if the traffic weight of any deviation road section is smaller than the traffic weight of the corresponding preset road section, the deviation road section is removed from the deviation information;
the road condition information of each section of deviation road section comprises the length, passing time and passing cost of the section, and the method for calculating the passing weight of the deviation road section comprises the following steps:
C1＝Wa×L1+Wb×T1+Wc×Q1 (2)
wherein, C1The traffic weight value of the deviation road section is obtained; waIs the length weight of the deviation road section; l is1Is the length of the deviation road section; wbTime weight of the deviation road section; t is1Is the transit time of the deviation road section; wcThe traffic weight of the deviation road section; q1The traffic cost of the deviation road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section comprises the following steps:
C2＝Wd×L2+We×T2+Wf×Q2 (3)
wherein, C2The traffic weight value is the traffic weight value of the preset road section; wdA length weight for a predetermined road segment; l is2Is the length of the predetermined road segment; weA time weight for a predetermined road segment; t is2The estimated passing time of the preset road section can be navigated according to the mobile phoneSoftware acquires real-time traffic road conditions to obtain T2；WfA traffic weight for a predetermined road segment; q2The estimated toll for the predetermined section of road.
In addition, if any deviation road section is located in a non-downtown area, the passing time of the deviation road section is less than the passing time of the corresponding preset road section, and the corresponding preset road section is located in an downtown area, the deviation road section is removed from the deviation information; and the road condition returning information of each preset road section comprises the real-time traffic condition of the road section when the vehicle passes through the corresponding deviation road section, and if any deviation road section is positioned in a non-downtown area, the corresponding preset road section is positioned in an downtown area and traffic jam occurs, the deviation road section is removed from the deviation information.
Preferably, as another embodiment of the present invention, if the number of times that any deviation road section is removed from the deviation information reaches three times, which indicates that the planning of the predetermined road section corresponding to the deviation road section is not reasonable, the deviation road section should be replaced by the corresponding predetermined road section to optimize the predetermined route.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable to various fields of endeavor for which the invention may be embodied with additional modifications as would be readily apparent to those skilled in the art, and the invention is therefore not limited to the details given herein and to the embodiments shown and described without departing from the generic concept as defined by the claims and their equivalents.
Claims (9)
1. A dangerous chemical road transportation driver portrait generation method based on position data is characterized by comprising the following steps:
planning a preset driving route in advance when a transport driver transports dangerous chemicals each time;
the method comprises the steps that when a transport driver transports dangerous chemicals each time, the position of a transport vehicle is obtained in real time, and an actual driving route of the transport driver when the transport driver transports the dangerous chemicals each time is generated;
comparing deviation information of an actual driving route and a preset driving route in each dangerous chemical delivery process of a transport driver, wherein the deviation information at least comprises the quantity of deviation of the routes in each dangerous chemical delivery process and the distance of a deviation road section corresponding to each deviation;
calculating the average deviation rate and the average route deviation times when the transport driver transports the dangerous chemicals, evaluating the driving habits of the transport driver for transporting the dangerous chemicals, and establishing a transport driver portrait.
2. The hazardous chemical road transport driver profile generation method based on location data of claim 1, wherein the transport driver profile further comprises overspeed information, fatigue driving information and emergency alert information for calculating when a transport driver transports hazardous chemicals.
3. The hazardous chemical road transport driver representation generating method based on position data as claimed in claim 1, wherein the average deviation ratio when the transport driver transports the hazardous chemical is calculated as follows:
wherein, S'iThe sum of the distances of the deviation road sections in the ith dangerous chemical delivery process of the transport driver; siThe distance for the transport driver to transport the dangerous chemicals for the ith time; n is the number of dangerous chemical deliveries.
4. The method as claimed in claim 1, wherein the deviation information further includes traffic information of each deviation section and traffic information of a predetermined section of the predetermined driving route replaced by each deviation section, and when the driving habit of the driver for transporting the hazardous chemical is evaluated, if the traffic information of any deviation section is better than the traffic information of the predetermined section of the predetermined driving route replaced by the deviation section, the deviation section is removed from the deviation information.
5. The driver image generation method for dangerous chemical road transportation based on location data as claimed in claim 4, wherein the traffic weight of each deviation section is calculated according to the traffic information of each deviation section, the traffic weight of each predetermined section is calculated according to the traffic information of each predetermined section, and if the traffic weight of any deviation section is smaller than the traffic weight of the corresponding predetermined section, the deviation section is removed from the deviation information.
6. The hazardous chemical road transport driver image generation method based on the position data as claimed in claim 5, wherein the traffic information of each deviation section includes the length, passing time and passing fee of the section, and the passing weight of the deviation section is calculated as follows:
C1＝Wa×L1+Wb×T1+Wc×Q1 (2)
wherein, C1The traffic weight value of the deviation road section is obtained; waIs the length weight of the deviation road section; l is1Is the length of the deviation road section; wbTime weight of the deviation road section; t is1Is the transit time of the deviation road section; wcThe traffic weight of the deviation road section; q1The traffic cost of the deviation road section;
the road condition information of each preset road section comprises the length of the road section, the estimated passing time and the estimated passing cost, and the calculation method of the passing weight of the deviation road section comprises the following steps:
C2＝Wd×L2+We×T2+Wf×Q2 (3)
wherein, C2The traffic weight value is the traffic weight value of the preset road section; wdA length weight for a predetermined road segment; l is2Is the length of the predetermined road segment; weA time weight for a predetermined road segment; t is2Estimated passing time for a predetermined road section; wfA traffic weight for a predetermined road segment; q2The estimated toll for the predetermined section of road.
7. The hazardous chemical road transport driver image generation method based on location data of claim 6, wherein if any deviation road segment is located in a non-downtown area, its transit time is less than that of the corresponding predetermined road segment, and its corresponding predetermined road segment is located in an downtown area, the deviation road segment is removed from the deviation information.
8. The driver image generation method for dangerous chemical road transportation according to claim 6, wherein the road condition information of each predetermined section includes real-time traffic conditions of the corresponding deviation section when the vehicle passes through the deviation section, and if any deviation section is located in the non-downtown area, the corresponding predetermined section is located in the downtown area and traffic jam occurs, the deviation section is removed from the deviation information.
9. The driver image generating method for dangerous chemical road transportation according to any of claims 4 to 8, wherein if any deviation section is removed from the deviation information three times, the deviation section is replaced with the corresponding predetermined section.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110191828.XA CN113048996B (en) | 2021-02-19 | 2021-02-19 | Dangerous chemical road transportation driver portrait generation method based on position data |
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| CN202110191828.XA CN113048996B (en) | 2021-02-19 | 2021-02-19 | Dangerous chemical road transportation driver portrait generation method based on position data |
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