CN109215333A - Dispatch configuration method and system - Google Patents
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Abstract
The present invention relates to a kind of scheduling configuration method and systems, the scheduling configuration method includes: that Cloud Server receives the task data that user terminal is sent, comprising: mission number, task start position information, task end point location information, task carrying capacity and task time；Receive the vehicle status data that multiple car-mounted terminals are sent, comprising: car-mounted terminal ID, driver ID, vehicle model information, vehicle position information, vehicle carrying capacity and vehicle idle time；Task start position information, task end point location information, task carrying capacity, task time are matched with each vehicle confidence breath, vehicle carrying capacity and vehicle idle time, determine multiple-task vehicle scheme；The running time reference data and task cost consumption reference data of vehicle model information under each section are obtained according to road section information；It determines optimal route and OPTIMAL TASK vehicle scheme, generates vehicle and send information；In task management database inquiry gather forms data and spell forms data.
Description
Technical field
The present invention relates to field of vehicle safety more particularly to a kind of scheduling configuration methods and system.
Background technique
Tire is the important component of vehicle, it is directly contacted with road surface, subjects the weight and automotive suspension of automobile
Jointly come impact suffered when mitigating running car.The state of tire will have a direct impact on the driving comfort of automobile, traveling
Ride comfort and drive safety.Good tire condition can guarantee that vehicle and road surface have good adhesion, improve leading for automobile
Drawing property, braking and passability.Importantly, good tire condition is the important prerequisite of safe driving.In actual travel
In, tire condition can be influenced by route conditions and generate corresponding change.Therefore, how accurately route conditions and tire to be carried out
Adaptation, becomes one of company manager and the current problem encountered of driver.
Route conditions are adapted to tire at present and are also based only on artificial judgment level, company manager or driver
Rule of thumb select travel route and required tire.This judgment mode is easy to be affected by human factors, and judging result is usually
It is inaccurate.So how under the influence of not by human factor, it is accurately adapted to route conditions and tire, is vehicle instantly
Security fields need one of the difficult point solved.
Summary of the invention
The purpose of the present invention is in view of the drawbacks of the prior art, providing a kind of scheduling configuration method and system, it is based on vehicle
Task route, task amount, task time calculate a variety of feasible task vehicle schemes, and in a variety of feasible task vehicles
Calculate according to information such as vehicle condition, section situation and task times that cost is minimum, efficiency is highest optimal appoints in scheme
Business vehicle scheme.This dispatching method is conducive to driver and manager's rational management vehicle, reduces Trip Costs, improves trip
Efficiency, enable driver and manager more smoothly, easily execute traveling task.
To achieve the above object, in a first aspect, the present invention provides a kind of scheduling configuration method, the scheduling configuration side
Method includes:
Cloud Server receives the task data that user sends；The task data includes: mission number, task start position
Information, task end point location information, task carrying capacity and task time；
Receive the corresponding vehicle status data that multiple car-mounted terminals are sent；The vehicle status data includes: vehicle-mounted end
Hold ID, driver ID, vehicle model information, vehicle position information, vehicle carrying capacity and vehicle idle time；
When by the task start position information, the task end point location information, the task carrying capacity, the task
Between matched with each vehicle position information, the vehicle carrying capacity and the vehicle idle time, determine a variety of
Business vehicle scheme；The task scheme includes vehicle model information and the corresponding quantity of every kind of vehicle；
The letter of one or more simulation programme paths is generated according to task start position information and task end point location information
Breath；The information of each simulation programme path includes the information of multiple node locations；
Route fractionation is carried out to the simulation programme path according to the node location, obtains the section letter in multiple sections
Breath；
According to the road section information, obtain the vehicle model information under each section running time reference data and task at
This consumption reference data；
According to the running time reference data of each task vehicle scheme and task cost consumption reference data in the mould
Optimal route and OPTIMAL TASK vehicle scheme are determined in quasi- programme path；
According to the optimal route and the optimal vehicle scheme, generates vehicle and send information；
The vehicle is sent into information according to the car-mounted terminal ID of the car-mounted terminal and is sent to the car-mounted terminal.
Preferably, the method also includes:
The Cloud Server sends information according to the vehicle and determines residual capacity；
It is in office according to the residual capacity, task start position information, task end point location information and the task time
Forms data is gathered in inquiry in business management database.
It is further preferred that the method also includes:
The Cloud Server gather according to forms data determine gather single task number；
The single task number of gathering is sent to the car-mounted terminal according to the car-mounted terminal ID by the Cloud Server.
Preferably, the method also includes:
The Cloud Server according to the task start position information and task end point location information and the task time,
Forms data is spelled in inquiry in task management database.
It is further preferred that the method also includes:
Described determined according to the spelling forms data spells single carrying capacity；
The task vehicle scheme is updated according to the single carrying capacity of the spelling and the task carrying capacity；
According to the updated task vehicle scheme, generates updated vehicle and send information.
Preferably, the method also includes:
Mobile terminal accesses the Cloud Server according to the car-mounted terminal ID；
The Cloud Server receive the task start position information that the mobile terminal sends, task end point location information and
Mobile terminal ID.
It is further preferred that the method also includes:
The vehicle is sent information according to the mobile terminal ID and is sent to the mobile terminal by the Cloud Server.
Preferably, the method also includes；
The Cloud Server determines the management of management terminal corresponding to the car-mounted terminal according to the car-mounted terminal ID
Termination ID；
The Cloud Server receive the task start position information that the management terminal sends, task end point location information and
Management terminal ID.
It is further preferred that the method also includes:
The vehicle is sent information according to the management terminal ID and is sent to the management terminal by the Cloud Server.
In second aspect, a kind of Information abnormity processing system of tire networking provided by the invention, including such as above-mentioned first
Car-mounted terminal described in aspect and Cloud Server.
Scheduling configuration method provided in an embodiment of the present invention, task route, task amount, task time based on vehicle calculate
A variety of feasible task vehicle schemes out, and in a variety of feasible task vehicle schemes according to vehicle condition, section situation and
The information such as task time calculate that cost is minimum, the highest optimal task vehicle scheme of efficiency.This dispatching method is conducive to
Driver and manager's rational management vehicle reduce Trip Costs, improve out line efficiency, enable driver and manager more
Smoothly, traveling task is easily executed.
Detailed description of the invention
Fig. 1 is the flow chart of scheduling configuration method provided in an embodiment of the present invention；
Fig. 2 is the structural block diagram of scheduling configuration system provided in an embodiment of the present invention.
Specific embodiment
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
For a better understanding of the technical solution of the present invention, firstly for the application of scheduling configuration method proposed by the present invention
Scene is introduced.
In the application scenarios of the present embodiment, vehicle needs to complete traveling task, fills all on the vehicle of every traveling task
Be loaded with a car-mounted terminal, for being communicated with Cloud Server and data interaction, with realize network side data processing and point
Analysis.
The embodiment of the present invention provides firstly a kind of scheduling configuration method, is implemented in scheduling configuration system, method stream
Journey figure is as shown in Figure 1, include the following steps:
Step 100, Cloud Server receives the task data that user sends；
Specifically, task data is some mission bit streams that vehicle this time exercises task.Task data includes: that task is compiled
Number, task start position information, task end point location information, task carrying capacity and task time.
In a specific example, user has a traveling task 1 to be done, then user sends to Cloud Server: appointing
Business number be 001, task start position information is orientation a, task end point location information is orientation b, task carrying capacity be 1 ton and
The task data that task time is 6 hours.
Step 110, Cloud Server receives the vehicle status data that car-mounted terminal is sent；
Specifically, vehicle status data includes: car-mounted terminal ID, driver ID, vehicle model information, vehicle position information, vehicle
Carrying capacity and vehicle idle time.
Wherein, car-mounted terminal has the car-mounted terminal ID that can determine its identity information, since car-mounted terminal and vehicle are
One-to-one binding relationship, so Cloud Server can confirm vehicle bound in car-mounted terminal by car-mounted terminal ID.Driver
ID is the identity information of driver, and the position where the current vehicle that vehicle position information represents, vehicle carrying capacity represents vehicle
Maximum bearing capacity, the vehicle idle time, which represents vehicle, can execute the time of traveling task.
Step 120, according to task data and vehicle status data, multiple-task vehicle scheme is determined；
Specifically, task scheme includes vehicle model information and the corresponding quantity of every kind of vehicle, it can be understood as appoint in traveling
The operational version of vehicle in business.Task time can be understood as the deadline time that traveling task is completed in limited time.In a practical situation,
The carrying standard of different vehicles is different, also, vehicle is not to exercise at any time, and vehicle is needed according to driver's
Time determines whether to exercise, and vehicle itself is also required to take time to maintain.So when confirming task vehicle scheme, it will
Task start position information, task end point location information, task carrying capacity, task time and each vehicle position information, vehicle
Carrying capacity and vehicle idle time are matched, and the vehicle that can satisfy mission requirements is matched, that is, determine that this can be executed
The quantity of the vehicle model of traveling task and required vehicle.
It should be noted that Cloud Server institute's vehicle model and vehicle fleet size may be permuted combination, it is available more
Kind can execute the vehicle model of the traveling task and the quantity of required vehicle, therefore there is also many kinds for task vehicle scheme.
For example, the task carrying capacity of traveling task 1 is 10 tons, task time is 10 hours.The bearing capacity of vehicle X is 2 tons,
The travelable time is 2 hours；The bearing capacity of vehicle Y is 3 tons, and the travelable time is 3 hours.So executable traveling task
1 task vehicle scheme include: 2 vehicle X add 2 vehicle Y, 5 or more vehicle X, 4 or more vehicle Y and other can expire
The vehicle permutation and combination of foot traveling task 1.
Step 130, one or more simulation planning are generated according to task start position information and task end point location information
The information of route；
Specifically, simulation programme path can be understood as that the travel access that vehicle is driven towards terminal by starting point can be achieved.
In Cloud Server there is electronic map or Cloud Server can also obtain electronic map from other servers.Electronic map
In include vehicle driving place geographical location information, the information such as real-time congestion level information of link length information, road.Cloud service
Device inputs the task start position information and task end point location information of vehicle in electronic map, and one is generated in electronic map
The road access of a or multiple achievable vehicle drivings simulates the information of programme path.These road accesses theoretically come
Saying can be such that vehicle arrives at the destination from starting point, but the road conditions of different road accesses are different, the influence to vehicle driving
It is different.
For example, destination b is driven towards in vehicle X plan by a of departure place, route A and route B can be logical from departure place a
To destination b, and route A more jolts compared to route B, and route B is shorter compared to route A length.So, route A and route B
A best route is certainly existed for vehicle X, vehicle X needs to select a route running from route A or route B,
Enable vehicle X more rapidly and the destination b that arrives safe and sound.
Step 140, route fractionation is carried out to simulation programme path according to node location, obtains the section letter in multiple sections
Breath；
Specifically, Cloud Server is set in simulation planning route according to the information of the simulation planning route in electronic map
One or more route nodes are set out, that is, simulation planning route is split into multiple simulations and plans section, obtain multiple roads
Segment information, each simulation plan that the tie point between section is the node for simulating programme path.The rule that node is arranged can be with
For according to road name, link length, signal light path distribution situation or other rule settings with certain logic.
For example, being a1, terminal an in simulation programme path A starting point.It is curved with a signal lamp and one in a1 to an
Node a3 is arranged in corner then can go out node a2 is arranged in signal lamp in road, and route A is split as three simulation planning roads
Section, specifically: a1-a2 is that section is planned in first simulation, and a2-a3 is that section is planned in second simulation, and a3-an is third
Simulation planning section.
Step 150, according to road section information, obtain vehicle model information under each section running time reference data and task at
This consumption reference data；
Specifically, it is generally the case that running time that the section that the vehicle of different model exercises same distance is spent and
The enforcement cost of consumption is all different.For example, vehicle X and vehicle Y is the different two cars of model, vehicle X is compared to vehicle Y
Faster, but the more oil consumption than vehicle Y, then the running time reference data of vehicle X is compared to vehicle Y for running velocity in the A of section
Running time reference data it is smaller, the task cost consumption reference data of vehicle X compared to vehicle Y task cost consumption ginseng
It is bigger to examine data.
Step 160, according to the running time reference data of each task vehicle scheme and task cost consumption reference data
Optimal route and OPTIMAL TASK vehicle scheme are determined in simulation programme path；
Specifically, Cloud Server running time reference data obtained and task cost consumption reference data can be right
Corresponding vehicle model information should be arrived, and corresponding each task vehicle scheme can be corresponded to by vehicle model information.Therefore, cloud takes
Be engaged in device can by vehicle model information by running time reference data, task cost consumption reference data corresponding to vehicle model information and
Each task vehicle scheme carries out permutation and combination, show that time of vehicle operation is relatively most short and vehicle task cost consumption is opposite
Minimum while the relatively shortest optimal route of route and OPTIMAL TASK vehicle scheme.
Optimal route be when vehicle travels between relatively most short and vehicle task cost consumption it is relatively minimal, simultaneously route
Under the premise of relatively shortest, vehicle executes the route that traveling task is exercised.OPTIMAL TASK vehicle scheme is when vehicle travels
Between under the premise of relatively most short and vehicle task cost consumption is relatively minimal, route is relatively shortest simultaneously, execute situation and assignments
The vehicle model information of vehicle and the corresponding quantity required of every kind of vehicle.
Step 170, it according to optimal route and optimal vehicle scheme, generates vehicle and sends information；
Specifically, vehicle send information can be understood as traveling task it is final send scheme.Cloud Server is by optimal road
Line and optimal vehicle scheme combine, and generate vehicle and send information.It includes that task exercises route, required by task that vehicle, which sends information,
The quantity of each vehicle of vehicle and required by task of each vehicle.
Step 180, vehicle is sent by information according to the car-mounted terminal ID of car-mounted terminal and is sent to car-mounted terminal；
Specifically, Cloud Server confirms car-mounted terminal identity according to car-mounted terminal ID, to confirm what car-mounted terminal was sitting in
Vehicle is sent information and is sent in vehicle by vehicle, and the driver in vehicle is allowed to send information execution phase according to vehicle
The traveling task answered.
In one embodiment, Cloud Server can also send validation of information residual capacity according to vehicle.
Residual capacity can be understood as the ability that the vehicle in the traveling task can also complete other traveling tasks.Cloud clothes
Business device has task management database, has in task management database according to multiple tasks data.Cloud Server is according to residue
Transport power, task start position information, task end point location information and task time inquire remaining fortune in task management database
Power, task start position information, task end point location information and task time send the forms data of gathering in range of information in vehicle.
Gather a forms data also corresponding traveling task, it can be understood as can be with while execution first travels task
The the second traveling task executed, and executing for the second traveling task can't have an impact the execution of the first traveling task.It gathers
It is single include mission number, gather single task start position information, gather single task end point location information, gather single task carrying capacity and the list that gathers
Task time.Cloud Server will gather single task number be sent to car-mounted terminal, make to car-mounted terminal to driver and accordingly mentioning
Show.This method that each traveling task overall is planned together, executed, can save the row of vehicle to greatest extent
Make cost.
In another specific example, after step 110, Cloud Server can first be risen according to mission number, task
Dot position information, task end point location information, task carrying capacity and task time inquire in task management database gathers odd number
According to.The forms data that will gather matches with multiple-task vehicle scheme and a plurality of route, combines, then through above-mentioned steps 120- step 170
It obtains final vehicle and sends information.Here it includes gathering single task that vehicle, which sends information, which sends the vehicle in information
Transport power is closer to saturation state.
In addition, Cloud Server can also according to task start position information and task end point location information and task time,
Forms data is spelled in inquiry in task management database, spells single carrying capacity according to spelling forms data and determining, and according to spell single carrying capacity and
Task carrying capacity more new task vehicle scheme.
More preferably, vehicle is also sent information and gives mobile terminal and management terminal by Cloud Server.
Mobile terminal can be a mobile phone or any one, and there is connection universal to be grouped wireless service (General
Packet Radio Service, GPRS) function mobile device in software.Mobile terminal has mobile terminal ID, mobile
Terminal accesses Cloud Server according to the ID of car-mounted terminal, and vehicle is sent information and be sent to by Cloud Server according to mobile terminal ID
The mobile terminal.In a specific example, Cloud Server is according to mobile terminal ID, with short message, call voice or push
Form to mobile terminal issue vehicle send information.
Management terminal can be understood as the equipment that manager manages car-mounted terminal, and a management terminal can correspond to multiple vehicle-mounted
Terminal, manager by a management terminal management or can check multiple car-mounted terminals under it.Management terminal has management eventually
The ID of the ID at end, management terminal are corresponding with car-mounted terminal ID, and Cloud Server is true according to the ID of the corresponding car-mounted terminal of tire ID
The Termination ID of fixed corresponding management terminal, and vehicle is sent into information, management is sent to eventually according to the Termination ID of management terminal
End.Management terminal sends information according to vehicle and deploys corresponding vehicle.In a specific example, management terminal manages one
The car-mounted terminal of fleet, management terminal send information according to the vehicle of vehicle in this fleet, to the traveling task of entire fleet
It is managed.
Scheduling configuration method provided in an embodiment of the present invention, task route, task amount, task time based on vehicle calculate
A variety of feasible task vehicle schemes out, and in a variety of feasible task vehicle schemes according to vehicle condition, section situation and
The information such as task time calculate that cost is minimum, the highest optimal task vehicle scheme of efficiency.This dispatching method is conducive to
Driver and manager's rational management vehicle reduce Trip Costs, improve out line efficiency, enable driver and manager more
Smoothly, traveling task is easily executed.
Correspondingly, the scheduling that the embodiment of the invention also provides a kind of to realize above-mentioned scheduling configuration method configures system
System, block diagram is as shown in Fig. 2, scheduling configuration system includes: car-mounted terminal 1, Cloud Server 2, management terminal 3 and mobile terminal 4.
Car-mounted terminal position 1 is connected by GPRS network with Cloud Server 2 in vehicle drive room.Cloud Server 2 also passes through
The network GPRS is connected with management terminal 3 and mobile terminal 4.
When dispatching the work of configuration system, process is as follows.
Car-mounted terminal 1 sends task data to Cloud Server 2, and Cloud Server 2 carries out processing analysis to task data, obtains
Vehicle sends information, and vehicle is sent information and is sent in management terminal 3 and mobile terminal 4.
Scheduling configuration system provided in an embodiment of the present invention, task route, task amount, task time based on vehicle calculate
A variety of feasible task vehicle schemes out, and in a variety of feasible task vehicle schemes according to vehicle condition, section situation and
The information such as task time calculate that cost is minimum, the highest optimal task vehicle scheme of efficiency.This dispatching method is conducive to
Driver and manager's rational management vehicle reduce Trip Costs, improve out line efficiency, enable driver and manager more
Smoothly, traveling task is easily executed.Also, scheduling provided in an embodiment of the present invention configuration system cost is low, good compatibility, easily
In load on existing vehicle, upgrading is carried out to existing vehicle management system.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only storage
Device (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology neck
In any other form of storage medium well known in domain.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of scheduling configuration method, which is characterized in that the scheduling configuration method includes:
Cloud Server receives the task data that user sends；The task data includes: mission number, task start position letter
Breath, task end point location information, task carrying capacity and task time；
Receive the corresponding vehicle status data that multiple car-mounted terminals are sent；The vehicle status data include: car-mounted terminal ID,
Driver ID, vehicle model information, vehicle position information, vehicle carrying capacity and vehicle idle time；
By the task start position information, the task end point location information, the task carrying capacity, the task time with
Each vehicle position information, the vehicle carrying capacity and the vehicle idle time are matched, and determine multiple-task vehicle
Scheme；The task scheme includes vehicle model information and the corresponding quantity of every kind of vehicle；
The information of one or more simulation programme paths is generated according to task start position information and task end point location information；Often
The information of a simulation programme path includes the information of multiple node locations；
Route fractionation is carried out to the simulation programme path according to the node location, obtains the road section information in multiple sections；
According to the road section information, the running time reference data and task cost for obtaining the vehicle model information under each section disappear
Consume reference data；
It is advised according to the running time reference data of each task vehicle scheme and task cost consumption reference data in the simulation
It draws and determines optimal route and OPTIMAL TASK vehicle scheme in route；
According to the optimal route and the optimal vehicle scheme, generates vehicle and send information；
The vehicle is sent into information according to the car-mounted terminal ID of the car-mounted terminal and is sent to the car-mounted terminal.
2. scheduling configuration method according to claim 1, which is characterized in that the method also includes:
The Cloud Server sends information according to the vehicle and determines residual capacity；
According to the residual capacity, task start position information, task end point location information and the task time, in task pipe
Forms data is gathered in inquiry in reason database.
3. scheduling configuration method according to claim 2, which is characterized in that the method also includes:
The Cloud Server gather according to forms data determine gather single task number；
The single task number of gathering is sent to the car-mounted terminal according to the car-mounted terminal ID by the Cloud Server.
4. scheduling configuration method according to claim 1, which is characterized in that the method also includes:
The Cloud Server is in office according to the task start position information and task end point location information and the task time
Forms data is spelled in inquiry in business management database.
5. scheduling configuration method according to claim 4, which is characterized in that the method also includes:
Described determined according to the spelling forms data spells single carrying capacity；
The task vehicle scheme is updated according to the single carrying capacity of the spelling and the task carrying capacity；
According to the updated task vehicle scheme, generates updated vehicle and send information.
6. scheduling configuration method according to claim 1, which is characterized in that the method also includes:
Mobile terminal accesses the Cloud Server according to the car-mounted terminal ID；
The Cloud Server receives task start position information, task end point location information and the movement that the mobile terminal is sent
Termination ID.
7. scheduling configuration method according to claim 6, which is characterized in that the method also includes:
The vehicle is sent information according to the mobile terminal ID and is sent to the mobile terminal by the Cloud Server.
8. scheduling configuration method according to claim 1, which is characterized in that the method also includes；
The Cloud Server determines the management terminal of management terminal corresponding to the car-mounted terminal according to the car-mounted terminal ID
ID；
The Cloud Server receives task start position information, task end point location information and the management that the management terminal is sent
Termination ID.
9. scheduling configuration method according to claim 8, which is characterized in that the method also includes:
The vehicle is sent information according to the management terminal ID and is sent to the management terminal by the Cloud Server.
10. a kind of scheduling configuration system, which is characterized in that the system comprises as described in any claim of the claims 1-9
Car-mounted terminal and Cloud Server.
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| CN111626578A (en) * | 2020-05-18 | 2020-09-04 | 上海东普信息科技有限公司 | Distribution method, device, equipment and storage medium of logistics truck |
| WO2021184265A1 (en) * | 2020-03-18 | 2021-09-23 | 驭势（上海）汽车科技有限公司 | Multi-vehicle coordination-based vehicle scheduling system, method, electronic apparatus, and storage medium |
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