CN111580510A - Intelligent road emergency rescue method and system based on big data and service platform - Google Patents
Intelligent road emergency rescue method and system based on big data and service platform Download PDFInfo
- Publication number
- CN111580510A CN111580510A CN202010331274.4A CN202010331274A CN111580510A CN 111580510 A CN111580510 A CN 111580510A CN 202010331274 A CN202010331274 A CN 202010331274A CN 111580510 A CN111580510 A CN 111580510A
- Authority
- CN
- China
- Prior art keywords
- automobile
- information
- controlling
- shell
- mobile
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000007246 mechanism Effects 0.000 claims abstract description 33
- 238000012423 maintenance Methods 0.000 claims abstract description 17
- 238000013439 planning Methods 0.000 claims abstract description 13
- 238000004458 analytical method Methods 0.000 claims description 15
- 230000001360 synchronised effect Effects 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 4
- 230000006855 networking Effects 0.000 claims description 3
- 239000000284 extract Substances 0.000 description 4
- 230000008439 repair process Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
- G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60P—VEHICLES ADAPTED FOR LOAD TRANSPORTATION OR TO TRANSPORT, TO CARRY, OR TO COMPRISE SPECIAL LOADS OR OBJECTS
- B60P3/00—Vehicles adapted to transport, to carry or to comprise special loads or objects
- B60P3/12—Vehicles adapted to transport, to carry or to comprise special loads or objects for salvaging damaged vehicles
- B60P3/122—Vehicles adapted to transport, to carry or to comprise special loads or objects for salvaging damaged vehicles by supporting the whole vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0257—Control of position or course in two dimensions specially adapted to land vehicles using a radar
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Transportation (AREA)
- Public Health (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Traffic Control Systems (AREA)
Abstract
An intelligent road emergency rescue method and system based on big data and a service platform comprises the following steps: if a road rescue request is received, extracting an address and license plate information contained in the road rescue request, controlling a movable shell to start, planning an optimal moving route, controlling a high-definition camera to start and shoot a high-definition image in real time, controlling the movable shell to move to a road position consistent with the address information, identifying automobile position information consistent with the license plate information, binding the identified automobile with the movable shell, controlling the movable shell to move to the bottom of the front end of the bound automobile, controlling a collision platform connected with a hydraulic mechanism to stretch out to collide with the bottom of the front end of the automobile to lift a preset distance parallel network, searching for an automobile maintenance station at the nearest distance, controlling the movable shell to drive the automobile to move to the automobile maintenance station, analyzing automobile front wheel state information in real time, and controlling the movable shell to keep consistent with the automobile front wheel state information and avoid obstacles in real; the intelligent trailer function is provided for vehicles anchored on roads.
Description
Technical Field
The invention relates to the field of road rescue, in particular to an intelligent road emergency rescue method and system based on big data and a service platform.
Background
With the increase of national economy and the continuous improvement of living standard of people, automobiles have already advanced into thousands of households, various traffic safety problems are brought, and complicated driving road conditions inevitably cause various faults of the vehicles, particularly the vehicles with more driving mileage or long service life and lack of maintenance are easy to be 'broken down' in the driving process; however, the driving experience is insufficient, so that a driver who knows little about the maintenance, adjustment and repair of the vehicle often breaks down the vehicle during driving when the driver is careless for inspection before driving and misoperation occurs during driving. These situations occur occasionally, such as deterioration of the technical conditions or anchorage of the vehicle due to human factors resulting in operational failure of the vehicle. If the treatment is not proper, economic loss can be caused to passengers, the vehicle journey is delayed, and traffic jam or accidents can be caused, so that pressure is brought to traffic management.
Therefore, how to combine big data with road breakdown is a problem which is urgently needed to be solved at present, after road rescue required by a user is obtained, the mobile shell which is the closest distance from the user is controlled to move to the automobile position of the user, the mobile shell moves to the lower position of the automobile according to the model of the automobile, the hydraulic mechanism is used for enabling the collision platform to collide with the bottom of the automobile and lift the collision platform by a set distance, and then the automobile is assisted to move to the closest maintenance station and the mobile shell and the front wheel of the automobile are synchronously operated when the automobile moves.
Disclosure of Invention
The purpose of the invention is as follows: in order to overcome the defects in the background art, the embodiment of the invention provides an intelligent road emergency rescue method and an intelligent road emergency rescue system based on big data and a service platform, which can effectively solve the problems related to the background art.
The technical scheme is as follows:
an intelligent road emergency rescue method based on big data and a service platform comprises the following steps:
s1, if a road rescue request sent by a user terminal keeping a connection relation is received, extracting address information and license plate information contained in the road rescue request and controlling a movable shell stored in a rescue warehouse closest to the address information to start;
s2, planning an optimal moving route according to the address information and the rescue warehouse address, and controlling a high-definition camera arranged at the position outside the moving shell to start to shoot a high-definition image in real time;
s3, controlling the mobile shell to move to a road position consistent with the address information according to the high-definition images and the mobile route, and identifying automobile position information consistent with the license plate information according to the high-definition images after the automobile position information arrives;
s4, binding the identified automobile consistent with the license plate information with the mobile shell, and controlling the mobile shell to move to the bottom position of the front end of the bound automobile according to the high-definition image;
s5, controlling a collision platform which is arranged at the inner position of the top end of the movable shell and is in driving connection with a hydraulic mechanism to extend out to collide with the bottom of the front end of the bound automobile for lifting a preset distance, and searching automobile maintenance stations with the closest distance in a networking mode according to the address information;
s6, controlling the mobile shell to drive the bound automobile to go to the searched automobile maintenance site according to the high-definition image, and analyzing the state information of the front wheel of the automobile bound with the mobile shell in real time according to the high-definition image when the automobile moves;
and S7, controlling the movable shell to keep consistent with the state information of the front wheels of the automobile according to the high-definition images and avoiding obstacles in real time according to the high-definition images.
As a preferable mode of the present invention, in S7, the method further includes the steps of:
s70, if the condition that the front wheel of the automobile is bound with the mobile shell to the left is analyzed according to the automobile front wheel state information, controlling the mobile shell to move to the left according to the high-definition image to drive the bound automobile to move to the left;
and S71, if the front wheel of the automobile bound with the mobile shell is analyzed to move rightwards according to the state information of the front wheel of the automobile, controlling the mobile shell to move rightwards according to the high-definition image to drive the bound automobile to move rightwards.
As a preferable mode of the present invention, in S7, the method further includes the steps of:
s72, controlling a laser radar arranged at the outer position of the movable shell to start to acquire surrounding obstacle information in real time and identifying obstacle space coordinate data in real time according to the obstacle information;
and S73, controlling the movable shell to drive the automobile to avoid the obstacle in real time according to the space coordinate data of the obstacle and the high-definition image.
As a preferable mode of the present invention, in S73, the method further includes the steps of:
s730, analyzing whether the obstacle at the front end of the movable shell is a motor vehicle or not in real time according to the obstacle space coordinate data and the high-definition image;
s731, if yes, analyzing whether the motor vehicle is in a slow moving state and cannot avoid the motor vehicle according to the high-definition image;
and S732, if so, controlling the mobile shell to drive the bound automobile to follow the motor vehicle in real time according to the high-definition image.
As a preferable mode of the present invention, in S1, the method further includes the steps of:
s10, extracting automobile model information contained in the road rescue request and analyzing whether the automobile is a four-wheel-drive automobile or not in real time according to the automobile model information;
and S11, if yes, controlling the mobile shell group stored in the rescue warehouse closest to the address information to start, and after the mobile shell group moves to the automobile position information consistent with the license plate information and is bound, controlling the mobile shell group to dispersedly move to the bottom positions of the front end and the rear end of the bound automobile according to the high-definition image.
An intelligent road emergency rescue system based on big data and a service platform uses an intelligent road emergency rescue method based on big data and a service platform, and comprises a mobile device and a server;
the mobile device comprises a rescue warehouse, a mobile shell, a driving mechanism, a high-definition camera, a hydraulic mechanism, a collision platform and a laser radar, wherein the rescue warehouse is arranged at the planned position of a road rescue center in a preset area and used for storing the mobile shell; the driving mechanism is arranged at the position below the movable shell and used for driving the movable shell to move; the high-definition camera is arranged at the outer position of the mobile shell and used for shooting an environmental image around the mobile shell; the hydraulic mechanism is arranged at the inner position above the movable shell, is connected with the abutting platform and is used for driving the connected abutting platform to stretch; the collision platform is arranged at the front end of the hydraulic mechanism and is used for colliding with the bottom of the automobile; the laser radar is arranged at the outer position of the movable shell and used for acquiring the information of obstacles around the movable shell;
the server sets up in the planned position of placing of road rescue center, the server includes:
the wireless module is used for being respectively in wireless connection with the mobile shell, the driving mechanism, the high-definition camera, the hydraulic mechanism, the laser radar, the road rescue center, the user terminal and the network;
the information receiving module is used for receiving information and/or instructions and/or requests;
the information extraction module is used for extracting the specified information and/or instruction and/or request contained information and/or instruction and/or request;
the mobile control module is used for controlling the mobile shell to execute the set mobile operation according to the set steps;
the route planning module is used for planning a moving route according to the appointed address information;
the high-definition shooting module is used for controlling the high-definition camera to be started or closed;
the license plate recognition module is used for recognizing license plates according to images shot by the high-definition camera;
the information binding module is used for binding the specified object and another specified object with each other;
the hydraulic lifting module is used for controlling the hydraulic mechanism to execute the set lifting operation of the touch platform according to the set steps;
the site searching module is used for searching automobile maintenance sites with the closest distance in an internet mode according to the address information;
and the information analysis module is used for processing and analyzing the information according to the specified information.
As a preferred aspect of the present invention, the server further includes:
and the synchronous control module is used for controlling the movable shell and the front wheel of the bound automobile to execute the set synchronous operation according to the set steps.
As a preferred aspect of the present invention, the server further includes:
the radar identification module is used for controlling the laser radar to be started or closed;
and the coordinate identification module is used for identifying the space coordinate data of the corresponding obstacle according to the obstacle information acquired by the laser radar.
As a preferred aspect of the present invention, the server further includes:
and the following control module is used for controlling the movable shell to move along with the front motor vehicle in real time on the premise that the movable shell cannot avoid.
As a preferred aspect of the present invention, the server further includes:
and the combined control module is used for controlling the two or more movable shells to execute the set road rescue operation according to the set steps.
The invention realizes the following beneficial effects:
1. after the intelligent road emergency rescue system is started, if a road rescue request of a user terminal is received, the address of a user is identified, the corresponding number of movable shells in a rescue warehouse closest to the user are controlled to move to the address of the user, the arrived movable shells and the automobile of the user are bound and moved to the bottom of the automobile, if the automobile is a front two-wheel drive automobile, the automobile is moved to the bottom of the front end of the automobile, if the automobile is a rear two-wheel drive automobile, the automobile is moved to the bottom of the rear end of the automobile, then the conflict platform stretches out through a hydraulic mechanism, the automobile is correspondingly lifted for a set distance, the movable shells and the front wheel of the automobile are driven to move to the nearest automobile maintenance station through the movable shells, and the movable shells and the front wheel of the automobile are synchronously.
2. If the obstacle at the front end of the movable shell is identified as the motor vehicle and the motor vehicle is analyzed to be in a slow running state, and the movable shell cannot drive the bound motor vehicle to avoid the motor vehicle, the movable shell enters a following state and follows the motor vehicle in real time until the motor vehicle can be avoided.
3. If the intelligent road emergency rescue system identifies that the automobile of the user is a four-wheel-drive automobile, two or more than two movable shells are controlled to move to the position of the user, the collision platform extends out through the hydraulic mechanism to correspondingly lift the automobile for a set distance, then the movable shells are driven by the movable shell group to move to the nearest automobile maintenance station, and the movable shells and the front wheel of the automobile are synchronously moved and avoid obstacles in real time.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flowchart of an intelligent emergency rescue method for roads according to an example of the present invention;
FIG. 2 is a flow chart of a method for controlling the synchronization of a mobile housing with an automotive vehicle according to one embodiment of the present invention;
fig. 3 is a flowchart of an obstacle identification and avoidance method according to an example of the present invention;
fig. 4 is a flowchart of a congested road segment following control method according to an example of the present invention;
FIG. 5 is a flow chart of a method for controlling a combination of moving housings according to an exemplary embodiment of the present invention;
fig. 6 is a connection diagram of an intelligent emergency rescue system according to an example of the present invention;
fig. 7 is a schematic view of a mobile housing according to an example of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
Referring to fig. 1-2, fig. 6-7.
Specifically, the embodiment provides an intelligent road emergency rescue method based on big data and a service platform, and the method includes the following steps:
and S1, when receiving a road rescue request sent by a user terminal keeping the connection relation, extracting address information and license plate information contained in the road rescue request, and controlling the movable shell 11 stored in the rescue warehouse 10 closest to the address information to start.
At S1, specifically, after the information receiving module 21 included in the server 2 receives a road rescue request sent by a user terminal that maintains a connection relationship, the information extracting module 22 included in the server 2 extracts address information and license plate information included in the road rescue request, wherein the information extracting module 22 further extracts automobile model information included in the road rescue request, and after the information extracting module 22 finishes extracting, the mobile control module 23 included in the server 2 controls the mobile shell 11 stored in the rescue warehouse 10 closest to the address information to start.
And S2, planning an optimal moving route according to the address information and the address of the rescue warehouse 10, and controlling the high-definition camera 13 arranged at the external position of the movable shell 11 to start to shoot high-definition images in real time.
At S2, specifically, after the mobile housing 11 is started, the route planning module 24 included in the server 2 plans an optimal mobile route according to the address information and the recorded address of the rescue warehouse 10, and the high-definition capturing module 25 included in the server 2 controls the high-definition camera 13 disposed at the position outside the mobile housing 11 to start to capture a high-definition image in real time, where the high-definition image is an environmental image outside the mobile housing 11 captured by the high-definition camera 13.
And S3, controlling the movable shell 11 to move to a road position consistent with the address information according to the high-definition images and the moving route, and identifying automobile position information consistent with the license plate information according to the high-definition images after the automobile position information arrives.
In S3, specifically, after the route planning module 24 finishes planning the moving route and the high definition camera 13 finishes starting, the movement control module 23 controls the moving housing 11 to move to the road position consistent with the address information according to the high definition image and the moving route, and when moving, the moving housing complies with the traffic rules and avoids obstacles; after the mobile shell 11 reaches the road position with the consistent address information, the license plate recognition module 26 included in the server 2 recognizes the automobile position information with the consistent license plate information in real time according to the high-definition image.
And S4, binding the identified automobile consistent with the license plate information with the mobile shell 11 and controlling the mobile shell 11 to move to the bottom position of the front end of the bound automobile according to the high-definition image.
In S4, specifically, after the license plate recognition module 26 recognizes the automobile position information consistent with the license plate information, the information binding module 27 included in the server 2 binds the recognized automobile consistent with the license plate information with the mobile housing 11, and after the information binding module 27 completes the binding, the mobile control module 23 controls the mobile housing 11 to move to the bottom position of the front end of the bound automobile according to the high definition image; if the automobile is a rear-drive automobile, the automobile moves to the bottom position of the rear end of the automobile.
And S5, controlling the hydraulic mechanism 14 arranged at the internal position of the top end of the movable shell to drive the connected collision platform 15 to extend out to collide with the bottom of the front end of the bound automobile and lift the collision platform by a preset distance, and searching the automobile maintenance station with the closest distance in a networking manner according to the address information.
At S5, specifically, after the movable housing 11 is moved to the bottom position of the bound automobile, the hydraulic lifting module 28 included in the server 2 controls the hydraulic rod, which is disposed at the internal position of the top end of the movable housing and is driven by the hydraulic pump, to extend the connected abutting platform 15 to abut against the bottom of the bound automobile and lift the front end or the rear end of the automobile by a preset distance, where the preset distance is set by the user terminal, and in this embodiment, is preferably 15 cm, that is, the front end or the rear end of the automobile is lifted by 15 cm from the ground; meanwhile, a site searching module 29 included in the server 2 searches automobile maintenance sites with the closest distance in an internet mode according to the address information.
And S6, controlling the mobile shell 11 to drive the bound automobile to go to the searched automobile maintenance site according to the high-definition image, and analyzing the state information of the front wheel of the automobile bound with the mobile shell 11 in real time according to the high-definition image when the automobile moves.
In S6, specifically after conflict platform 15 stretches out and finishes and website search module 29 searches out the auto repair website, mobile control module 23 controls according to the high definition image the mobile housing 11 drives the car of binding and goes to the auto repair website position that searches out, and when mobile housing 11 moved, information analysis module 30 that server 2 contained according to the real-time analysis of high definition image with the car front wheel state information that mobile housing 11 bound, analysis car front wheel' S direction information promptly.
And S7, controlling the movable shell 11 to keep consistent with the state information of the front wheels of the automobile according to the high-definition images and avoiding obstacles in real time according to the high-definition images.
In S7, after the information analysis module 30 analyzes the state information of the front wheel of the automobile bound to the mobile housing 11, the mobile control module 23 controls the mobile housing 11 in real time according to the high definition image to keep the state information of the front wheel of the automobile consistent, and controls the mobile housing 11 to avoid an obstacle in real time according to the high definition image when moving.
When the movable housing 11 moves, the movable housing 11 is driven to move by a movable roller which is connected with a driving motor for controlling the movable housing 11.
As a preferable mode of the present invention, in S7, the method further includes the steps of:
and S70, if the front wheel of the automobile bound with the mobile shell 11 is analyzed to be leftwards according to the automobile front wheel state information, controlling the mobile shell 11 to move leftwards according to the high-definition image to drive the bound automobile to move leftwards.
Specifically, after the information analysis module 30 analyzes the state information of the front wheels of the automobile bound to the movable housing 11, if the information analysis module 30 analyzes the left of the front wheels of the automobile bound to the movable housing 11 according to the state information of the front wheels of the automobile, the synchronous control module 31 controls the movable roller of the movable housing 11 to move left according to the high definition image to drive the bound automobile to move left.
And S71, if the front wheel of the automobile bound with the movable shell 11 is analyzed to move rightwards according to the state information of the front wheel of the automobile, controlling the movable shell 11 to move rightwards according to the high-definition image to drive the bound automobile to move rightwards.
Specifically, if the information analysis module 30 analyzes that the front wheel of the automobile bound to the movable housing 11 moves to the right according to the state information of the front wheel of the automobile, the synchronous control module 31 controls the moving roller of the movable housing 11 to move to the right according to the high definition image to drive the bound automobile to move to the right.
Example two
Referring to fig. 3-4, fig. 6-7.
Specifically, this embodiment is substantially the same as the first embodiment, except that in S7, the method further includes the following steps:
and S72, controlling the laser radar 16 arranged at the outer position of the movable shell 11 to start and acquire surrounding obstacle information in real time and identifying the space coordinate data of the obstacles in real time according to the obstacle information.
Specifically, when the mobile control module 23 controls the mobile housing 11 in real time according to the high-definition image to keep consistent with the state information of the front wheels of the automobile, the radar recognition module 32 included in the server 2 controls the laser radar 16 arranged at the external position of the mobile housing 11 to start to acquire the surrounding obstacle information in real time, and after the laser radar 16 is started, the coordinate recognition module 33 included in the server 2 recognizes the spatial coordinate data of the obstacle in real time according to the obstacle information.
And S73, controlling the movable shell 11 to drive the automobile to avoid the obstacle in real time according to the space coordinate data of the obstacle and the high-definition image.
Specifically, after the coordinate recognition module 33 recognizes the space coordinate data of the obstacle, the mobile control module 23 controls the mobile roller connected to the driving motor of the mobile housing 11 to drive the mobile housing 11 and the vehicle to avoid the obstacle existing on the road in real time according to the space coordinate data of the obstacle and the high-definition image.
As a preferable mode of the present invention, in S73, the method further includes the steps of:
and S730, analyzing whether the obstacle at the front end of the movable shell 11 is a motor vehicle or not in real time according to the space coordinate data of the obstacle and the high-definition image.
Specifically, when the mobile housing 11 drives the bound vehicle to avoid an obstacle existing on a road in real time, the information analysis module 30 analyzes whether the obstacle at the front end of the mobile housing 11 is a motor vehicle in real time according to the obstacle space coordinate data and the high-definition image.
And S731, if so, analyzing whether the motor vehicle is in a slow moving state and cannot avoid the motor vehicle according to the high-definition image.
Specifically, after the information analysis module 30 analyzes that the obstacle at the front end of the movable shell 11 is a motor vehicle, the information analysis module 30 analyzes whether the motor vehicle is in a slow moving state and the movable shell 11 cannot avoid the motor vehicle according to the high-definition image, that is, whether a road is congested is analyzed, and the movable shell 11 and the bound vehicle are in a following state.
And S732, if so, controlling the mobile shell 11 to drive the bound automobile to follow the motor vehicle in real time according to the high-definition image.
Specifically, after the information analysis module 30 analyzes that the motor vehicle is in a slow moving state and the moving housing 11 cannot avoid the motor vehicle, the following control module 34 included in the server 2 controls the moving roller which is driven and connected by the driving motor of the moving housing 11 according to the high-definition image to drive the moving housing 11 and the bound vehicle to follow the motor vehicle in real time.
EXAMPLE III
As shown with reference to fig. 5-7.
Specifically, this embodiment is substantially the same as the first embodiment, except that in S1, the method further includes the following steps:
and S10, extracting the automobile model information contained in the road rescue request and analyzing whether the automobile is a four-wheel-drive automobile or not in real time according to the automobile model information.
Specifically, when the information extraction module 22 extracts information included in the roadside assistance request, the information extraction module 22 further extracts automobile model information included in the roadside assistance request, and after the information extraction module 22 finishes the extraction, the information analysis module 30 analyzes whether the automobile is a four-wheel drive automobile or not in real time according to the automobile model information.
And S11, if yes, controlling the group of the movable shells 11 stored in the rescue warehouse 10 closest to the address information to start, and after the group of the movable shells 11 move to the automobile position information consistent with the license plate information and are bound, controlling the group of the movable shells 11 to dispersedly move to the bottom positions of the front end and the rear end of the bound automobile according to the high-definition image.
Specifically, after the information analysis module 30 analyzes that the vehicle model information is a four-wheel drive vehicle, the combination control module 35 included in the server 2 controls the mobile shell 11 group stored in the rescue warehouse 10 closest to the address information to start, and then performs steps S2-S4, and after the mobile shell 11 group moves to the vehicle position information consistent with the license plate information and is bound, the combination control module 35 controls the mobile shell 11 group to move to the positions of the front end and the rear end of the bound vehicle according to the high-definition image, and then performs steps S5-S7.
Example four
As shown with reference to fig. 6-7.
Specifically, the embodiment provides an intelligent road emergency rescue system based on big data and a service platform, and an intelligent road emergency rescue method based on big data and a service platform is used, and comprises a mobile device 1 and a server 2;
the mobile device 1 comprises a rescue warehouse 10, a mobile shell 11, a driving mechanism 12, a high-definition camera 13, a hydraulic mechanism 14, a collision platform 15 and a laser radar 16, wherein the rescue warehouse 10 is arranged at a planned position of a road rescue center in a preset area and used for storing the mobile shell 11; the driving mechanism 12 is arranged at a position below the movable shell 11 and is used for driving the movable shell 11 to move; the high-definition camera 13 is arranged at an external position of the mobile shell 11 and is used for shooting an environmental image around the mobile shell 11; the hydraulic mechanism 14 is arranged at the inner position above the movable shell 11, connected with the abutting platform 15 and used for driving the connected abutting platform 15 to stretch and retract; the collision platform 15 is arranged at the front end of the hydraulic mechanism 14 and is used for colliding with the bottom of the automobile; the laser radar 16 is arranged at an external position of the mobile shell 11 and used for acquiring obstacle information around the mobile shell 11;
the server 2 is arranged at a planned placing position of a road rescue center, and the server 2 comprises:
the wireless module 20 is used for being respectively in wireless connection with the mobile shell 11, the driving mechanism 12, the high-definition camera 13, the hydraulic mechanism 14, the laser radar 16, the road rescue center, the user terminal and the network;
an information receiving module 21, configured to receive information and/or instructions and/or requests;
an information extraction module 22, configured to extract information and/or instructions and/or requests included in the specific information and/or instructions and/or requests;
a movement control module 23 for controlling the movable housing 11 to perform the set movement operation according to the set steps;
a route planning module 24 for planning a moving route according to the designated address information;
the high-definition shooting module 25 is used for controlling the high-definition camera 13 to be started or closed;
the license plate recognition module 26 is used for recognizing a license plate according to the image shot by the high-definition camera 13;
an information binding module 27 for binding a specified object and another specified object to each other;
the hydraulic lifting module 28 is used for controlling the hydraulic mechanism 14 to execute the set lifting operation of the abutting platform 15 according to the set steps;
the site searching module 29 is used for searching automobile maintenance sites with the closest distance in an internet mode according to the address information;
and the information analysis module 30 is used for processing and analyzing the information according to the specified information.
As a preferred embodiment of the present invention, the server 2 further includes:
and the synchronous control module 31 is used for controlling the movable shell 11 and the front wheels of the bound automobile to execute the set synchronous running operation according to the set steps.
As a preferred embodiment of the present invention, the server 2 further includes:
a radar identification module 32 for controlling the laser radar 16 to be turned on or off;
and the coordinate identification module 33 is configured to identify spatial coordinate data of the corresponding obstacle according to the obstacle information acquired by the laser radar 16.
As a preferred embodiment of the present invention, the server 2 further includes:
and the following control module 34 is used for controlling the movable shell 11 to move along with the front motor vehicle in real time on the premise that the movable shell cannot avoid the front motor vehicle.
As a preferred embodiment of the present invention, the server 2 further includes:
and a combination control module 35 for controlling the two or more movable housings 11 to perform the set roadside assistance operations according to the set steps.
Wherein the driving mechanism 12 comprises a driving motor and a moving roller; the hydraulic mechanism 14 includes a hydraulic pump and a hydraulic lever; a collision rubber layer is arranged above the collision platform 15; the abutting platform 15 is provided with a plurality of sections to correspondingly extend out according to the size of the automobile chassis.
It should be understood that, in the fourth embodiment, the specific implementation process of each module described above may correspond to the description of the above method embodiments (the first to fourth embodiments), and is not described in detail here.
The system provided in the fourth embodiment is only illustrated by dividing the functional modules, and in practical applications, the above-mentioned functions may be distributed by different functional modules according to needs, that is, the internal structure of the system is divided into different functional modules to complete all or part of the functions described above.
The above embodiments are merely illustrative of the technical ideas and features of the present invention, and are intended to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.
Claims (10)
1. An intelligent road emergency rescue method based on big data and a service platform is characterized by comprising the following steps:
s1, if a road rescue request sent by a user terminal keeping a connection relation is received, extracting address information and license plate information contained in the road rescue request and controlling a movable shell stored in a rescue warehouse closest to the address information to start;
s2, planning an optimal moving route according to the address information and the rescue warehouse address, and controlling a high-definition camera arranged at the position outside the moving shell to start to shoot a high-definition image in real time;
s3, controlling the mobile shell to move to a road position consistent with the address information according to the high-definition images and the mobile route, and identifying automobile position information consistent with the license plate information according to the high-definition images after the automobile position information arrives;
s4, binding the identified automobile consistent with the license plate information with the mobile shell, and controlling the mobile shell to move to the bottom position of the front end of the bound automobile according to the high-definition image;
s5, controlling a collision platform which is arranged at the inner position of the top end of the movable shell and is in driving connection with a hydraulic mechanism to extend out to collide with the bottom of the front end of the bound automobile for lifting a preset distance, and searching automobile maintenance stations with the closest distance in a networking mode according to the address information;
s6, controlling the mobile shell to drive the bound automobile to go to the searched automobile maintenance site according to the high-definition image, and analyzing the state information of the front wheel of the automobile bound with the mobile shell in real time according to the high-definition image when the automobile moves;
and S7, controlling the movable shell to keep consistent with the state information of the front wheels of the automobile according to the high-definition images and avoiding obstacles in real time according to the high-definition images.
2. The intelligent road emergency rescue method based on big data and service platform as claimed in claim 1, wherein in S7, the method further comprises the following steps:
s70, if the condition that the front wheel of the automobile is bound with the mobile shell to the left is analyzed according to the automobile front wheel state information, controlling the mobile shell to move to the left according to the high-definition image to drive the bound automobile to move to the left;
and S71, if the front wheel of the automobile bound with the mobile shell is analyzed to move rightwards according to the state information of the front wheel of the automobile, controlling the mobile shell to move rightwards according to the high-definition image to drive the bound automobile to move rightwards.
3. The intelligent road emergency rescue method based on big data and service platform as claimed in claim 1, wherein in S7, the method further comprises the following steps:
s72, controlling a laser radar arranged at the outer position of the movable shell to start to acquire surrounding obstacle information in real time and identifying obstacle space coordinate data in real time according to the obstacle information;
and S73, controlling the movable shell to drive the automobile to avoid the obstacle in real time according to the space coordinate data of the obstacle and the high-definition image.
4. The intelligent road emergency rescue method based on big data and service platform as claimed in claim 3, wherein in S73, the method further comprises the following steps:
s730, analyzing whether the obstacle at the front end of the movable shell is a motor vehicle or not in real time according to the obstacle space coordinate data and the high-definition image;
s731, if yes, analyzing whether the motor vehicle is in a slow moving state and cannot avoid the motor vehicle according to the high-definition image;
and S732, if so, controlling the mobile shell to drive the bound automobile to follow the motor vehicle in real time according to the high-definition image.
5. The intelligent road emergency rescue method based on big data and service platform as claimed in claim 1, wherein in S1, the method further comprises the following steps:
s10, extracting automobile model information contained in the road rescue request and analyzing whether the automobile is a four-wheel-drive automobile or not in real time according to the automobile model information;
and S11, if yes, controlling the mobile shell group stored in the rescue warehouse closest to the address information to start, and after the mobile shell group moves to the automobile position information consistent with the license plate information and is bound, controlling the mobile shell group to dispersedly move to the bottom positions of the front end and the rear end of the bound automobile according to the high-definition image.
6. An intelligent road emergency rescue system based on big data and service platform, which uses the intelligent road emergency rescue method based on big data and service platform as claimed in any one of claims 1-5, comprising a mobile device and a server, characterized in that:
the mobile device comprises a rescue warehouse, a mobile shell, a driving mechanism, a high-definition camera, a hydraulic mechanism, a collision platform and a laser radar, wherein the rescue warehouse is arranged at the planned position of a road rescue center in a preset area and used for storing the mobile shell; the driving mechanism is arranged at the position below the movable shell and used for driving the movable shell to move; the high-definition camera is arranged at the outer position of the mobile shell and used for shooting an environmental image around the mobile shell; the hydraulic mechanism is arranged at the inner position above the movable shell, is connected with the abutting platform and is used for driving the connected abutting platform to stretch; the collision platform is arranged at the front end of the hydraulic mechanism and is used for colliding with the bottom of the automobile; the laser radar is arranged at the outer position of the movable shell and used for acquiring the information of obstacles around the movable shell;
the server sets up in the planned position of placing of road rescue center, the server includes:
the wireless module is used for being respectively in wireless connection with the mobile shell, the driving mechanism, the high-definition camera, the hydraulic mechanism, the laser radar, the road rescue center, the user terminal and the network;
the information receiving module is used for receiving information and/or instructions and/or requests;
the information extraction module is used for extracting the specified information and/or instruction and/or request contained information and/or instruction and/or request;
the mobile control module is used for controlling the mobile shell to execute the set mobile operation according to the set steps;
the route planning module is used for planning a moving route according to the appointed address information;
the high-definition shooting module is used for controlling the high-definition camera to be started or closed;
the license plate recognition module is used for recognizing license plates according to images shot by the high-definition camera;
the information binding module is used for binding the specified object and another specified object with each other;
the hydraulic lifting module is used for controlling the hydraulic mechanism to execute the set lifting operation of the touch platform according to the set steps;
the site searching module is used for searching automobile maintenance sites with the closest distance in an internet mode according to the address information;
and the information analysis module is used for processing and analyzing the information according to the specified information.
7. The intelligent road emergency rescue system based on big data and service platform as claimed in claim 6, wherein the server further comprises:
and the synchronous control module is used for controlling the movable shell and the front wheel of the bound automobile to execute the set synchronous operation according to the set steps.
8. The intelligent road emergency rescue system based on big data and service platform as claimed in claim 6, wherein the server further comprises:
the radar identification module is used for controlling the laser radar to be started or closed;
and the coordinate identification module is used for identifying the space coordinate data of the corresponding obstacle according to the obstacle information acquired by the laser radar.
9. The intelligent road emergency rescue system based on big data and service platform as claimed in claim 6, wherein the server further comprises:
and the following control module is used for controlling the movable shell to move along with the front motor vehicle in real time on the premise that the movable shell cannot avoid.
10. The intelligent road emergency rescue system based on big data and service platform as claimed in claim 6, wherein the server further comprises:
and the combined control module is used for controlling the two or more movable shells to execute the set road rescue operation according to the set steps.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010331274.4A CN111580510A (en) | 2020-04-24 | 2020-04-24 | Intelligent road emergency rescue method and system based on big data and service platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010331274.4A CN111580510A (en) | 2020-04-24 | 2020-04-24 | Intelligent road emergency rescue method and system based on big data and service platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111580510A true CN111580510A (en) | 2020-08-25 |
Family
ID=72113713
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010331274.4A Withdrawn CN111580510A (en) | 2020-04-24 | 2020-04-24 | Intelligent road emergency rescue method and system based on big data and service platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111580510A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113419529A (en) * | 2021-06-23 | 2021-09-21 | 南京苏美达智能技术有限公司 | Method for automatically guiding fault machine by machine and self-walking equipment |
-
2020
- 2020-04-24 CN CN202010331274.4A patent/CN111580510A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113419529A (en) * | 2021-06-23 | 2021-09-21 | 南京苏美达智能技术有限公司 | Method for automatically guiding fault machine by machine and self-walking equipment |
| CN113419529B (en) * | 2021-06-23 | 2023-01-13 | 南京苏美达智能技术有限公司 | Method for automatically guiding fault machine by machine and self-walking equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7137673B2 (en) | Vehicle driving support system | |
| CN107808549B (en) | Method, device and system for mobile control | |
| CN106875736B (en) | Wireless automatic parking system and method | |
| US9582998B2 (en) | Method and apparatus for autonomous movement of a parked motor vehicle | |
| DE102018105693A1 (en) | Road construction detection systems and methods | |
| US9569962B2 (en) | Method for identifying a vehicle detected by a sensor device | |
| DE102018109376A1 (en) | POINT NUMBER EVALUATION WHEN PARKING AUTONOMOUS VEHICLES | |
| CN110718058A (en) | Active safety terminal-based expressway emergency lane occupation detection and disposal method | |
| CN110276974A (en) | Remote endpoint is got off navigation guide | |
| CN112119433B (en) | Safeguarding and taking safety measures against dangerous points by vehicle warning | |
| US20200311622A1 (en) | Management device, management method, and storage medium | |
| CN111986505A (en) | Control device, boarding/alighting facility, control method, and storage medium | |
| WO2016128203A1 (en) | Method for operating a vehicle | |
| US20200365027A1 (en) | Management device, management method, and storage medium | |
| JP7210336B2 (en) | Vehicle control system, vehicle control method, and program | |
| CN111580510A (en) | Intelligent road emergency rescue method and system based on big data and service platform | |
| CN113183948B (en) | Intelligent automobile non-fixed parking space automatic automobile moving method and system based on interactive service | |
| CN112509353B (en) | Robot passing method and device, robot and storage medium | |
| US11117571B2 (en) | Vehicle control device, vehicle control method, and storage medium | |
| US11513527B2 (en) | Vehicle control device, vehicle control method, and storage medium | |
| US20170092121A1 (en) | Method and System for Determining and Using Property Associations | |
| CN104691490A (en) | Automotive external airbag and starting system with surrounding pedestrian behavior prediction function | |
| JP2019156267A (en) | Vehicle control device, vehicle control method, and program | |
| US20200311624A1 (en) | Management device, management system, management method, and storage medium | |
| US20200365026A1 (en) | Parking lot management apparatus, parking lot management method, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200825 |