CN110072803B - Energy distribution scheduling method and system - Google Patents
Energy distribution scheduling method and system Download PDFInfo
- Publication number
- CN110072803B CN110072803B CN201780016252.5A CN201780016252A CN110072803B CN 110072803 B CN110072803 B CN 110072803B CN 201780016252 A CN201780016252 A CN 201780016252A CN 110072803 B CN110072803 B CN 110072803B
- Authority
- CN
- China
- Prior art keywords
- filling
- vehicle
- distribution
- user
- optimal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B67—OPENING, CLOSING OR CLEANING BOTTLES, JARS OR SIMILAR CONTAINERS; LIQUID HANDLING
- B67D—DISPENSING, DELIVERING OR TRANSFERRING LIQUIDS, NOT OTHERWISE PROVIDED FOR
- B67D7/00—Apparatus or devices for transferring liquids from bulk storage containers or reservoirs into vehicles or into portable containers, e.g. for retail sale purposes
- B67D7/04—Apparatus or devices for transferring liquids from bulk storage containers or reservoirs into vehicles or into portable containers, e.g. for retail sale purposes for transferring fuels, lubricants or mixed fuels and lubricants
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Navigation (AREA)
Abstract
An energy distribution scheduling method comprises the following steps: acquiring historical filling data, and analyzing to obtain comprehensive pre-distribution conditions (S1); according to the pre-allocation condition, a delivery vehicle is organized and scheduled (S2). The method organizes and schedules delivery vehicles to a designated place in advance to wait, receives the filling request of a user vehicle, schedules the optimal delivery vehicle in real time to fill the fuel for the user vehicle, can avoid the trouble of searching for a gas station by a user, reduces the energy consumption of the vehicle on the way of searching for the fuel station, lightens the congestion of the gas station and an urban road, reduces the time of waiting for filling the fuel by the user and improves the fuel filling efficiency.
Description
Technical Field
The invention relates to the technical field of energy, in particular to an energy distribution scheduling method and system.
Background
Nowadays, gasoline stations are the main locations for refueling automobiles. When the automobile fuel is not enough, the user can initiatively look for nearby filling stations to add fuel, but each distribution point distance of filling stations is far away, and the distribution is scattered, and it is troublesome that the user looks for filling stations, and the user still can consume the energy at the in-process of looking for filling stations to the area and the filling equipment of filling stations are limited usually, can cause filling station to block up, and city road blocks up even, and the user waits for the time of refueling long, refuels inefficiency scheduling problem.
Technical problem
The invention aims to solve the technical problems that in the related technology, a user is troublesome to find a gas station, a vehicle consumes energy when finding a gas station road, the gas station is congested, urban road is congested, the time for the user to wait for refueling is long, and the refueling efficiency is low.
Solution to the problem
Technical solution
The technical scheme adopted by the invention for solving the technical problems is as follows: an energy distribution scheduling method is provided, the method comprises the following steps:
s1: acquiring historical filling data, and analyzing to obtain comprehensive pre-distribution conditions;
s2: and organizing and scheduling delivery vehicles according to the pre-distribution condition.
Preferably, in the energy distribution scheduling method according to the present invention, the method further includes:
s3: receiving a filling request corresponding to a user vehicle;
s4: analyzing and judging whether an optimal distribution vehicle with an optimal path exists according to the filling request, and if so, executing a step S5;
s5: and sending a real-time scheduling instruction to the optimal delivery vehicle.
Preferably, in the energy distribution scheduling method according to the present invention, the method further includes:
s6: the optimal distribution vehicle automatically plans an optimal route to search for the user vehicle according to the real-time scheduling instruction;
s7: and after filling is finished, updating the vehicle information of the optimal delivery vehicle.
Preferably, in the energy distribution scheduling method of the present invention, the historical refueling data includes historical refueling frequency, historical refueling model, historical refueling quantity, common refueling location, and recent refueling time of one or more user vehicles;
the pre-distribution conditions comprise pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places;
in the step S1, the method includes:
s1-1: judging to obtain the pre-distribution filling time according to the historical filling frequency and the latest filling time;
s1-2: judging to obtain the pre-distributed fuel filling type and quantity according to the historical fuel filling type and the historical filling quantity;
s1-3: and judging to obtain the pre-distribution filling place according to the common filling place.
Preferably, in the energy distribution scheduling method according to the present invention, in step S2, the method includes:
s2: and sending the pre-distributed refueling type and quantity, refueling time and refueling place to the delivery vehicle, and organizing and scheduling the delivery vehicle.
Preferably, in the energy distribution scheduling method of the present invention, the filling request includes filling request information, user vehicle position information, a fuel filling model number, and a required number;
the real-time scheduling instruction comprises real-time scheduling information, the user vehicle position information, the fuel filling type and the required quantity;
in the step S3, the method includes:
s3: receiving the filling request information corresponding to the user vehicle, the user vehicle position information, the filling fuel type and the required quantity;
in the step S4, the method includes:
s4-1: analyzing and judging a first distribution vehicle group which accords with the refueling model of the user vehicle according to the refueling model of the user vehicle;
s4-2: according to the quantity of the user vehicles required for refueling, further analyzing and judging a second delivery vehicle group which meets the quantity of the user vehicles required for refueling on the first delivery vehicle group;
s4-3: according to the user vehicle position information, further analyzing and judging whether the optimal distribution vehicle with the optimal path exists on the second distribution vehicle group, if so, executing a step S5, otherwise, sending a prompt message to the user vehicle to prompt that the filling service cannot be provided;
in the step S5, the method includes:
s5: and sending real-time scheduling information, the user vehicle position information, the fueling models and the required quantity to the optimal delivery vehicle.
Preferably, in the energy distribution scheduling method of the present invention, the vehicle information corresponding to the optimal delivery vehicle includes position information, a fueling model number, and a quantity of the optimal delivery vehicle;
in the step S6, the method includes:
s6: the optimal distribution vehicle automatically plans an optimal route according to the user vehicle position information and searches for the user vehicle;
in the step S7, the method includes:
s7: and after filling, updating the position information, the fuel filling type and the number of the optimal delivery vehicles.
The invention also provides an energy distribution and scheduling system, which comprises a user vehicle terminal, a service system, a distribution vehicle terminal and a management terminal;
the management terminal is used for acquiring historical filling data of the service system, analyzing to obtain comprehensive pre-distribution conditions, and organizing and scheduling distribution vehicles;
the user vehicle terminal is used for sending a filling request to the service system;
the service system is used for receiving an adding request corresponding to a user vehicle, analyzing and judging an optimal distribution vehicle of an optimal path according to the adding request, sending a real-time scheduling instruction to the optimal distribution vehicle, and updating vehicle information of the optimal distribution vehicle;
and the distribution vehicle terminal is used for receiving the real-time scheduling instruction and automatically planning an optimal route to search the user vehicle.
Preferably, in the energy distribution and scheduling system of the present invention, the historical refueling data includes historical refueling frequency, historical refueling model, historical refueling quantity, common refueling location, and recent refueling time of one or more user vehicles;
the pre-distribution conditions comprise pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places.
Preferably, in the energy distribution scheduling system of the present invention, the filling request includes filling request information, user vehicle position information, a fuel filling model number, and a required number;
the vehicle information corresponding to the optimal delivery vehicle comprises the position information, the fuel filling type and the number of the optimal delivery vehicle;
the real-time scheduling instruction comprises real-time scheduling information, the user vehicle position information, the fueling model and the required quantity.
Advantageous effects of the invention
Advantageous effects
By analyzing historical filling data, a delivery vehicle is organized and scheduled to a pre-distribution filling place to be ready in advance, then a filling request of a user vehicle is received, the optimal delivery vehicle in an optimal path is scheduled in real time to fill fuel for the user vehicle, the trouble that the user searches a gas station can be avoided, the energy consumption of the vehicle on the way of searching the fuel station is reduced, the congestion of the gas station and urban roads is relieved, the time of waiting for filling fuel for the user is shortened, and the fuel filling efficiency is improved.
Brief description of the drawings
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a flow chart of a method of energy allocation scheduling according to the present invention;
fig. 2 is a system block diagram of an energy distribution scheduling system according to the present invention.
Examples of the invention
Modes for carrying out the invention
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of an energy distribution scheduling method according to an embodiment of the present invention, and as shown in fig. 1, the energy distribution scheduling method includes the following steps:
s1: acquiring historical filling data, and analyzing to obtain comprehensive pre-distribution conditions;
s2: and organizing and scheduling delivery vehicles according to the pre-distribution condition.
Preferably, in the energy allocation scheduling method of the present invention, the method further includes:
s3: receiving a filling request corresponding to a user vehicle;
s4: analyzing and judging whether an optimal distribution vehicle with an optimal path exists according to the filling request, and if so, executing a step S5;
s5: and sending a real-time scheduling instruction to the optimal delivery vehicle.
Preferably, in the energy allocation scheduling method of the present invention, the method further includes:
s6: the optimal distribution vehicle automatically plans an optimal route to search for the user vehicle according to the real-time scheduling instruction;
s7: and after filling is finished, updating the vehicle information of the optimal delivery vehicle.
Preferably, in the energy distribution scheduling method of the present invention, the historical refueling data includes historical refueling frequency, historical refueling model, historical refueling number, common refueling location, and recent refueling time of one or more user vehicles;
the pre-distribution conditions comprise pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places;
in step S1, the method includes:
s1-1: judging to obtain pre-distribution filling time according to the historical filling frequency and the latest filling time;
specifically, according to the filling time and the filling frequency of all user vehicles in the historical data, judging to obtain a time point at which all user vehicles are expected to be filled most frequently on the pre-allocation day, wherein the time point is the pre-allocation filling time;
in some possible embodiments, if the delivery vehicles are to be pre-allocated on the next weekday, the time point at which all the user vehicles are expected to be most frequently filled on the next weekday can be judged and analyzed according to the filling time and the filling frequency of all the user vehicles on each weekday in the last month, and the time point is the pre-allocated filling time. The last month and week are only examples, and include, but are not limited to, the last month and week, and are not limited thereto. The above-mentioned weekdays based on each week in the last month are also examples, including but not limited to this manner, and are not limited thereto.
S1-2: judging to obtain the model and the quantity of pre-distributed fuel according to the historical fuel model and the historical fuel quantity;
specifically, according to the refueling models and the refueling numbers of all user vehicles in historical data, judging to obtain the predicted refueling models and the predicted refueling numbers of all user vehicles on the pre-distribution day, wherein the refueling models and the predicted refueling numbers are the pre-distribution refueling models and the pre-distribution refueling numbers;
in some possible embodiments, if the delivery vehicle is to be pre-dispensed on the next weekday, the estimated refueling types and quantities of all the user vehicles on the next weekday can be determined and analyzed according to the refueling types and the refueling quantities of all the user vehicles on the weekday of each week in the last month, and the refueling types and quantities are the pre-dispensed refueling types and quantities. The last month and week are only examples, and include, but are not limited to, the last month and week, and are not limited thereto. The above-mentioned weekdays based on each week in the last month are also examples, including but not limited to this manner, and are not limited thereto.
S1-3: judging to obtain a pre-distribution filling place according to a common filling place;
specifically, according to the common filling places of all user vehicles in the historical data, judging to obtain the expected filling places of all user vehicles on the pre-distribution day, wherein the expected filling places are the pre-distribution filling places;
in some possible embodiments, if the delivery vehicles are to be pre-distributed on the next weekday, the expected filling locations of all the user vehicles on the next weekday can be judged and analyzed according to the common filling locations of all the user vehicles on the weekday of each week in the last month, and the expected filling locations are the pre-distribution filling locations. The last month and week are only examples, and include, but are not limited to, the last month and week, and are not limited thereto. The above-mentioned weekdays based on each week in the last month are also examples, including but not limited to this manner, and are not limited thereto.
Preferably, in the energy distribution scheduling method according to the present invention, in step S2, the method includes:
s2: sending the type and quantity of pre-distributed fuel to be filled, the filling time and the filling place to delivery vehicles, and organizing and scheduling the delivery vehicles;
specifically, the delivery vehicle loads the type and the quantity of the fuel to be filled according to the received pre-distributed fuel filling type and quantity, the filling time and the filling place on the pre-distributed day, and organizes and schedules the delivery vehicle to wait for the delivery vehicle to arrive at the filling place at the filling time point on the pre-distributed day;
in some possible embodiments, if there are delivery vehicles that receive pre-dispensed fueling of the type and quantity 92 # 300L and 98 # 200L, the time of fueling is 4 pm on the following sunday, the location of fueling is the north circle avenue, then the 92 # 300L and 98 # 200L are loaded, and the delivery vehicles are organized and scheduled to arrive at the north circle avenue at 4 pm on the following sunday. The 92 # 300L, 98 # 200L, the next sunday 4 pm and the north loop avenue are only examples, and include, but are not limited to, the 92 # 300L, 98 # 200L, the next sunday 4 pm and the north loop avenue, and are not limited thereto.
Preferably, in the energy distribution scheduling method of the present invention, the filling request includes filling request information, user vehicle position information, a fuel filling model number, and a required number;
the real-time scheduling instruction comprises real-time scheduling information, user vehicle position information, fuel filling type and required quantity;
in step S3, the method includes:
s3: receiving filling request information corresponding to a user vehicle, user vehicle position information, a filling fuel type and required quantity;
further still include:
s3-1: receiving filling request information corresponding to the user vehicle, judging whether the user vehicle is registered or has a historical data record, if so, executing a step S3-2, otherwise, executing a step S3-3;
s3-2: receiving user vehicle location information and a quantity required for fueling;
s3-3: sending prompt information to require a user to input the type of fuel to be filled and the required quantity;
s3-4: location information, fueling type, and quantity required of the user's vehicle is received.
In step S4, the method includes:
s4-1: analyzing and judging a first distribution vehicle group which accords with the fuel filling type of the user vehicle according to the fuel filling type of the user vehicle;
specifically, a plurality of delivery vehicles which meet the fueling model of the user vehicle are screened out from the plurality of delivery vehicles according to the fueling model sent by the user vehicle;
in some possible embodiments, if the fueling model sent by the user vehicle is No. 92, a number of delivery vehicles meeting No. 92, if 20, are screened out of 30 delivery vehicles. The numbers 92, 30 and 20 are only examples, and include, but are not limited to, the numbers 92, 30 and 20, and are not limited herein.
S4-2: according to the quantity of the user vehicles required for filling fuel, further analyzing and judging a second distribution vehicle group which meets the quantity of the user vehicles required for filling fuel on the first distribution vehicle group;
specifically, according to the number of fuel filling requirements of a user vehicle, screening a plurality of delivery vehicles which meet the number of fuel filling models from a plurality of delivery vehicles which meet the number of fuel filling models of the user vehicle;
in some possible embodiments, the user vehicle is refueled in an amount of 90 liters. A number of delivery vehicles corresponding to 90 liters, if any 10, are screened out of 20 delivery vehicles corresponding to the customer vehicle fueling model. The 90 liters and 10 cars are merely exemplary, including but not limited to 90 liters and 10 cars, and are not limited thereto.
S4-3: according to the position information of the user vehicle, further analyzing and judging whether the optimal distribution vehicle with the optimal path exists on the second distribution vehicle group, if so, executing step S5, otherwise, sending prompt information to the user vehicle to prompt that the filling service cannot be provided;
specifically, according to the user position information sent by the user vehicle, one delivery vehicle closest to the user vehicle is screened out from a plurality of delivery vehicles meeting the fueling requirement, and the delivery vehicle is the optimal delivery vehicle.
In some possible embodiments, a delivery vehicle closest to the user vehicle is screened out from 10 delivery vehicles corresponding to the fueling requirement according to the user position information sent by the user vehicle, and the delivery vehicle is the optimal delivery vehicle. Here, the 10 vehicles are only examples, including but not limited to 10 vehicles, and are not limited herein.
In step S5, the method includes:
s5: and sending the real-time scheduling information, the user vehicle position information, the fueling models and the required quantity to the optimal delivery vehicle.
Preferably, in the energy distribution scheduling method of the present invention, the vehicle information corresponding to the optimal delivery vehicle includes the position information, the fuel filling type number, and the number of the optimal delivery vehicle;
in step S6, the method includes:
s6: the optimal distribution vehicle automatically plans an optimal route according to the position information of the user vehicle and searches for the user vehicle;
in some preferred embodiments, the user vehicle may obtain real-time location information of the optimal delivery vehicle, and learn the dynamics of the optimal delivery vehicle in real time.
In step S7, the method includes:
s7: and after filling is finished, updating the position information, the fuel filling type and the number of the optimal delivery vehicles.
Specifically, the optimal distribution vehicle finds the user vehicle, refuels the user vehicle according to the received refuel model number and required number of the user vehicle, settles the bill, and updates the position information, the refuel model number and the number of the optimal distribution vehicle after refuelling is completed;
in some possible embodiments, the optimal delivery vehicle finds the customer vehicle, fills the customer vehicle with 90L of fuel number 92, settles the bill, and updates the current location information of the optimal delivery vehicle after filling is completed, with 90L being subtracted from the number of fuel number 92, based on the received customer vehicle being filled with fuel number 92 and the required quantity being 90L. The 92 # and 90L are only examples, and include, but are not limited to, the 92 # and 90L, and are not limited herein;
in some preferred embodiments, after filling, it can be determined whether the user vehicle has handled the monthly card, if so, the filling service fee is automatically deducted from the monthly card of the user vehicle, otherwise, the bill is settled on site. The month card is only an example, and includes, but is not limited to, a month card, and is not limited thereto.
The technical solution of the present invention can also be applied to some fixed distance transportation vehicles, such as buses, where the buses are only examples, and include but not limited to buses, and the present invention is not limited thereto. Acquiring historical filling data of the bus, and analyzing to obtain pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places; organizing and scheduling the pre-distribution fuel filling type and quantity loaded by the distribution vehicle to arrive at the pre-distribution filling place for standby in the pre-distribution filling time; when the bus runs to the position where fuel needs to be added, the dispensing vehicle can wait on the bus running line without sending a filling request and fill the fuel for the bus. When the bus misses the pre-distribution filling place, the bus can also schedule the optimal delivery vehicle on the optimal path under the driving route to fill fuel for the bus by sending a filling request.
Fig. 2 is a system block diagram of an energy distribution scheduling system of the present invention, as shown in fig. 2:
the invention also provides an energy distribution and scheduling system, which comprises a user vehicle terminal 1, a service system 2, a distribution vehicle terminal 3 and a management terminal 4;
the management terminal 4 is used for acquiring historical filling data of the service system 2, analyzing the historical filling data to obtain comprehensive pre-distribution conditions, and organizing and scheduling distribution vehicles;
the user vehicle terminal 1 is used for sending a filling request to the service system 2;
the service system 2 is used for receiving the filling request corresponding to the user vehicle, analyzing and judging the optimal delivery vehicle of the optimal path according to the filling request, sending a real-time scheduling instruction to the optimal delivery vehicle, and updating the vehicle information of the optimal delivery vehicle;
and the distribution vehicle terminal 3 is used for receiving the real-time scheduling instruction and automatically planning the optimal route to search for the vehicle of the user.
Preferably, in the energy distribution and scheduling system of the present invention, the historical refueling data includes historical refueling frequency, historical refueling model, historical refueling number, common refueling location, and recent refueling time of one or more user vehicles;
the pre-dispensing conditions include pre-dispensing fill time, pre-dispensing fill fuel type and quantity, and pre-dispensing fill location.
Preferably, in the energy distribution and scheduling system of the present invention, the filling request includes filling request information and user vehicle position information, a fuel filling model number and a required number;
the vehicle information corresponding to the optimal delivery vehicle comprises the position information, the fuel filling type and the number of the optimal delivery vehicle;
the real-time scheduling instructions include real-time scheduling information and user vehicle location information, fueling models, and quantities required.
The method comprises the following specific steps:
and the management terminal 4 is used for acquiring the historical filling frequency, the historical filling fuel type, the historical filling quantity, the common filling place and the latest filling time of one or more user vehicles in the service system 2, and analyzing to obtain the pre-distribution filling time, the pre-distribution filling fuel type and quantity and the pre-distribution filling place.
The user vehicle terminal 1 is used for sending the corresponding request information of the user vehicle, the position information of the user vehicle, the fueling type and the required quantity to the service system 2.
And the service system 2 is used for receiving the request information corresponding to the user vehicle, the position information of the user vehicle, the fuel filling type and the required quantity, analyzing and judging the optimal delivery vehicle of the optimal path, sending the real-time scheduling information, the position information of the user vehicle, the fuel filling type and the required quantity to the optimal delivery vehicle, and updating the position information, the fuel filling type and the quantity of the optimal delivery vehicle.
And the distribution vehicle terminal 3 is used for receiving the real-time scheduling information, the position information of the user vehicles, the fuel filling types and the required quantity, and automatically planning the optimal route to search the user vehicles.
Industrial applicability
According to the energy distribution scheduling method and system, through analyzing historical filling data, delivery vehicles are organized and scheduled to a pre-distribution filling place to be ready in advance, then filling requests of user vehicles are received, the optimal delivery vehicles in the optimal path are scheduled in real time to fill fuel for the user vehicles, the trouble that users find gas stations can be avoided, energy consumption of the vehicles on the way of finding the gas stations is reduced, congestion of the gas stations and urban roads is relieved, time of waiting for filling fuel is shortened for the users, and fuel filling efficiency is improved.
Sequence Listing free content
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from its scope. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (8)
1. An energy distribution scheduling method, characterized in that the method comprises the following steps:
s1: acquiring historical filling data, and analyzing to obtain comprehensive pre-distribution conditions;
s2: organizing and scheduling delivery vehicles according to the pre-distribution conditions;
s3: receiving a filling request corresponding to a user vehicle;
s4: analyzing and judging whether an optimal distribution vehicle with an optimal path exists according to the filling request, and if so, executing a step S5;
s5: sending a real-time scheduling instruction to the optimal delivery vehicle;
the historical filling data comprises historical filling frequency, historical filling fuel type, historical filling quantity, common filling place and recent filling time of one or more user vehicles;
the pre-distribution conditions comprise pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places.
2. The method according to claim 1, further comprising:
s6: the optimal distribution vehicle automatically plans an optimal route to search for the user vehicle according to the real-time scheduling instruction;
s7: and after filling is finished, updating the vehicle information of the optimal delivery vehicle.
3. The energy allocation scheduling method according to claim 2,
in the step S1, the method includes:
s1-1: judging to obtain the pre-distribution filling time according to the historical filling frequency and the latest filling time;
s1-2: judging to obtain the pre-distributed fuel filling type and quantity according to the historical fuel filling type and the historical filling quantity;
s1-3: and judging to obtain the pre-distribution filling place according to the common filling place.
4. The method according to claim 3, wherein the step S2 includes:
s2: and sending the pre-distributed refueling type and quantity, refueling time and refueling place to the delivery vehicle, and organizing and scheduling the delivery vehicle.
5. The energy allocation scheduling method according to claim 4, wherein said filling request includes filling request information and user vehicle position information, fueling model and required quantity;
the real-time scheduling instruction comprises real-time scheduling information, the user vehicle position information, the fuel filling type and the required quantity;
in the step S3, the method includes:
s3: receiving the filling request information corresponding to the user vehicle, the user vehicle position information, the filling fuel type and the required quantity;
in the step S4, the method includes:
s4-1: analyzing and judging a first distribution vehicle group which accords with the refueling model of the user vehicle according to the refueling model of the user vehicle;
s4-2: according to the quantity of the user vehicles required for refueling, further analyzing and judging a second delivery vehicle group which meets the quantity of the user vehicles required for refueling on the first delivery vehicle group;
s4-3: according to the user vehicle position information, further analyzing and judging whether the optimal distribution vehicle with the optimal path exists on the second distribution vehicle group, if so, executing a step S5, otherwise, sending a prompt message to the user vehicle to prompt that the filling service cannot be provided;
in the step S5, the method includes:
s5: and sending real-time scheduling information, the user vehicle position information, the fueling models and the required quantity to the optimal delivery vehicle.
6. The energy distribution scheduling method of claim 5, wherein the vehicle information corresponding to the optimal delivery vehicle comprises optimal delivery vehicle position information, fueling model and quantity;
in the step S6, the method includes:
s6: the optimal distribution vehicle automatically plans an optimal route according to the user vehicle position information and searches for the user vehicle;
in the step S7, the method includes:
s7: and after filling, updating the position information, the fuel filling type and the number of the optimal delivery vehicles.
7. An energy distribution and scheduling system is characterized by comprising a user vehicle terminal, a service system, a distribution vehicle terminal and a management terminal;
the management terminal is used for acquiring historical filling data of the service system, analyzing to obtain comprehensive pre-distribution conditions, and organizing and scheduling distribution vehicles;
the user vehicle terminal is used for sending a filling request to the service system;
the service system is used for receiving an adding request corresponding to a user vehicle, analyzing and judging an optimal distribution vehicle of an optimal path according to the adding request, sending a real-time scheduling instruction to the optimal distribution vehicle, and updating vehicle information of the optimal distribution vehicle;
the distribution vehicle terminal is used for receiving the real-time scheduling instruction and automatically planning an optimal route to search the user vehicle;
the historical filling data comprises historical filling frequency, historical filling fuel type, historical filling quantity, common filling place and recent filling time of one or more user vehicles;
the pre-distribution conditions comprise pre-distribution filling time, pre-distribution filling fuel type and quantity and pre-distribution filling places.
8. The energy distribution scheduling system of claim 7 wherein the fueling request includes fueling request information and user vehicle location information, fueling model number and quantity required;
the vehicle information corresponding to the optimal delivery vehicle comprises the position information, the fuel filling type and the number of the optimal delivery vehicle;
the real-time scheduling instruction comprises real-time scheduling information, the user vehicle position information, the fueling model and the required quantity.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2017/111934 WO2019095384A1 (en) | 2017-11-20 | 2017-11-20 | Energy allocation and scheduling method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110072803A CN110072803A (en) | 2019-07-30 |
| CN110072803B true CN110072803B (en) | 2021-08-06 |
Family
ID=66538452
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201780016252.5A Active CN110072803B (en) | 2017-11-20 | 2017-11-20 | Energy distribution scheduling method and system |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN110072803B (en) |
| WO (1) | WO2019095384A1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114852132B (en) * | 2022-05-18 | 2024-04-02 | 中铁第四勘察设计院集团有限公司 | Method, system, equipment and medium for dispatching rolling stock |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537508A (en) * | 2014-12-17 | 2015-04-22 | 武汉飞恩微电子有限公司 | Mobile refueling network system and method |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1071271A (en) * | 1991-09-25 | 1993-04-21 | 首都钢铁公司 | Computerized dispatching information administration system for mining lorries |
| JPH11180499A (en) * | 1997-12-22 | 1999-07-06 | Tokico Ltd | Shipment control system |
| US7624024B2 (en) * | 2005-04-18 | 2009-11-24 | United Parcel Service Of America, Inc. | Systems and methods for dynamically updating a dispatch plan |
| CN101211453A (en) * | 2006-12-25 | 2008-07-02 | 厦门雅迅网络股份有限公司 | Vehicle scheduling data processing method |
| CN103047991A (en) * | 2012-12-25 | 2013-04-17 | 杨国琴 | Method for prompting running route to nearest gasoline station |
| CN105279201A (en) * | 2014-07-24 | 2016-01-27 | 镇江市方舟运输有限公司 | Vehicle transportation information data mining method |
| CN104504919A (en) * | 2015-01-15 | 2015-04-08 | 无锡北斗星通信息科技有限公司 | Gasoline station refueled vehicle information issue method |
| CN105425594A (en) * | 2015-10-28 | 2016-03-23 | 东莞酷派软件技术有限公司 | Energy distribution method, energy distributor and terminal |
| CN106956600A (en) * | 2016-01-08 | 2017-07-18 | 法拉蒂绿能股份有限公司 | Mobile battery energy distribution station management system and method |
| CN206147719U (en) * | 2016-08-31 | 2017-05-03 | 浙江商业职业技术学院 | Commodity circulation scheduling control system based on big data |
| CN106447266A (en) * | 2016-10-12 | 2017-02-22 | 上海节点供应链管理有限公司 | Intelligent optimized scheduling method for multiple vehicle models and multi-time dispensing in logistics field |
| CN106779460B (en) * | 2016-12-29 | 2020-11-10 | 新奥科技发展有限公司 | Energy scheduling method and device for energy station |
| CN107133678B (en) * | 2017-03-16 | 2020-05-15 | 上海蔚来汽车有限公司 | Energy supplementing duration prediction method based on user historical behaviors |
| CN107352497B (en) * | 2017-07-21 | 2018-10-12 | 北京图森未来科技有限公司 | A kind of automatic oiling methods, devices and systems of vehicle |
-
2017
- 2017-11-20 CN CN201780016252.5A patent/CN110072803B/en active Active
- 2017-11-20 WO PCT/CN2017/111934 patent/WO2019095384A1/en active Application Filing
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104537508A (en) * | 2014-12-17 | 2015-04-22 | 武汉飞恩微电子有限公司 | Mobile refueling network system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019095384A1 (en) | 2019-05-23 |
| CN110072803A (en) | 2019-07-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105070044B (en) | Dynamic scheduling method for customized buses and car pooling based on passenger appointments | |
| CN107381488B (en) | A kind of automatic oiling methods, devices and systems of vehicle | |
| CN110889601B (en) | Information determination method, device, server and storage medium | |
| US7066216B2 (en) | System for allocating fuel stations to movable bodies | |
| US20110246252A1 (en) | Vehicle charging allocation managing server and vehicle charging allocation managing system | |
| CN110081900A (en) | A kind of charging pile intelligent recommendation method, apparatus, service terminal and storage medium | |
| US20220076358A1 (en) | Method and System to Optimize Distributed Charging Station Efficiency and User Experience | |
| US20130024249A1 (en) | Public transport optimization | |
| CN111216589A (en) | Charging pile shared charging method, server, vehicle-mounted terminal and charging system | |
| CN102113001A (en) | Method and system for cab management | |
| CN102878998A (en) | Vehicle fueling prompting method based on path programming | |
| JP2023062018A (en) | Vehicle dispatch device, vehicle dispatch method, computer program, and computer-readable recording medium | |
| CN105095985A (en) | Shared vehicle systems and methods | |
| CN111256715A (en) | Opportunistic fueling of autonomous vehicles | |
| CN109155015A (en) | The method and apparatus transported for on-demand fuel | |
| CN116307306B (en) | Intelligent scheduling method, device, equipment and storage medium based on big data | |
| CN114910091A (en) | System and method for allocating driving routes based on vehicle driving mileage and indirect cost | |
| DE102014216054A1 (en) | System and method for assisting the driver of a motor vehicle in the selection of a gas station and motor vehicle | |
| CN112036615A (en) | Vehicle scheduling method, device, equipment and storage medium | |
| CN110072803B (en) | Energy distribution scheduling method and system | |
| CN115713868A (en) | System and method for locating a parking space for a vehicle | |
| JP7082555B2 (en) | Vehicle use support system | |
| CN112289065B (en) | Customized bus route design method and system based on accurate OD big data | |
| CN111815344A (en) | Automobile refueling recommendation method, electronic equipment and storage medium | |
| CN114802305A (en) | Automobile fuel management method, device, equipment 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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |