CN116862139B - Intelligent scheduling decision method, device and system for fuelling vehicle - Google Patents

Abstract

The disclosure provides an intelligent scheduling decision method, device and system for an oil truck. The method comprises the steps of planning a priority sequence of flights to be refueled by using airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning a target fuelling vehicle and a target fuelling vehicle which are respectively matched with the flights to be refueled to obtain task planning information; and distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the to-be-refueled flight, a model of the to-be-refueled flight, a position of the to-be-refueled flight, a refueling amount required by the to-be-refueled flight, a residual duration for estimating the completion of the refueling tasks and a recommended path.

Description

Intelligent scheduling decision method, device and system for fuelling vehicle

Technical Field

The invention relates to the technical field of intelligent dispatching of fuel trucks, in particular to an intelligent dispatching decision method, device and system of fuel trucks.

Background

With the rapid development of civil aviation, the airport scale is gradually enlarged, the flight throughput of the airport is also increased, and higher requirements are put forward on the service quality and the working efficiency of the airport ground guarantee operation.

At present, most airports at home and abroad adopt a scheduling personnel to carry out manual task scheduling on the civil aviation special fuelling vehicle, but the workload of the scheduling personnel is very large, and a very large burden is brought to the scheduling personnel.

Disclosure of Invention

The present disclosure provides an improved method, apparatus and system for intelligent scheduling decisions for fuel trucks.

The disclosure provides an intelligent scheduling decision method for an oil truck, comprising the following steps:

Planning a priority sequence of flights to be refueled by using airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning a target fuelling vehicle and a target fuelling vehicle which are respectively matched with the flights to be refueled to obtain task planning information;

And distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the to-be-refueled flight, a model of the to-be-refueled flight, a position of the to-be-refueled flight, a refueling amount required by the to-be-refueled flight, a residual duration for estimating the completion of the refueling tasks and a recommended path.

Further, the method further comprises:

displaying information to be processed corresponding to the functions of the dispatching system to a dispatcher;

Receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed, wherein the auxiliary planning information is used for adjusting the task planning information;

And distributing corresponding refueling tasks to the target refuelers according to the task planning information, wherein the task planning information comprises the following steps:

and distributing corresponding refueling tasks to the target refuelers according to the adjusted task planning information.

Further, the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes: displaying the progress state of the oiling task and the data information of the corresponding oiling task to a dispatcher so that the dispatcher monitors the progress state of the oiling task; the receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps: receiving auxiliary planning information fed back by the dispatcher aiming at the progress state and the data information of the corresponding refueling task;

And/or the number of the groups of groups,

The fuelling vehicle comprises an automatic driving fuelling vehicle; the displaying the information to be processed corresponding to the dispatching system function to the dispatcher comprises the following steps: acquiring full-path monitoring information of the automatic driving fuelling vehicle, wherein the full-path monitoring information comprises fuelling vehicle information, running information, surrounding environment information, driving monitoring information and abnormal condition processing information; displaying the full-path monitoring information to the dispatcher so that the dispatcher monitors the automated driving fuelling vehicle; the receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps: and receiving auxiliary planning information fed back by the dispatcher aiming at the full-path monitoring information.

Further, the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes:

under the condition that the images acquired by the vehicle-mounted image acquisition equipment and/or the image acquisition equipment at the auxiliary device end detect abnormality, performing abnormal behavior early warning, and displaying surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle to the dispatcher so that the dispatcher monitors the surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle;

The receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps:

and receiving auxiliary planning information fed back by the dispatcher aiming at the abnormal behavior early warning.

Further, the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes: displaying information to be processed corresponding to the dispatching system function to a dispatcher through a display area corresponding to the dispatching system function; the display area of the dispatching system function comprises one or more of a display area of a refueling task, a display area of abnormal alarm and a display area of full path monitoring.

Further, the planning of the priority order of flights to be refueled includes:

Within the same fueling service time window, sorting according to the flight type priority; the oiling service time window is a time window between the starting service time for starting to execute the oiling task in advance and the estimated finishing time for finishing the oiling task;

and adjusting the priority order of flights to be refueled according to the priority of the flight types and the delay state.

Further, the planning is respectively matched with a target fueller and a target fueller of the flight to be fuelled, and the method comprises the following steps:

determining the flight number that can serve a refueler service within the refueler service time window;

Determining a time difference between an end time of a last job completed by the serviceable fuel filler and a start service time of the flight shift serviced by the serviceable fuel filler; the starting service time is the earliest time of standard time for starting to execute the refueling task in advance and estimated time for predicting to start to execute the refueling task in advance;

Taking the serviceable fueller corresponding to the shortest time difference in the time differences as a target fueller, and taking the flight number serviced by the target fueller as a flight to be fuelled;

Obtaining an optimal service fuelling vehicle for flights from the idle fuelling vehicle and the service fuelling vehicle according to the fuelling vehicle service evaluation relationship, and taking the optimal service fuelling vehicle as the target fuelling vehicle; the service evaluation relationship of the refueler comprises the scheduled driving time of the service refueler, the waiting time of the service refueler and the time of flight delay caused by the service refueler.

Further, the determining that the attendant fueling operator serves the flight number within the fueling service time window includes:

Grouping the service refuelers according to flight flights in the refueler service time window to obtain the groups of the service refuelers;

and determining the flight number of the fueller service of the group according to the group of the fuellers capable of being serviced.

The present disclosure provides an intelligent scheduling decision device for a fuel truck, comprising:

The task planning information determining module is used for planning the priority sequence of flights to be refueled by utilizing airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning target fuelling vehicles and target fuelling vehicles which are respectively matched with the flights to be refueled to obtain task planning information;

The distribution module is used for distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of a flight to be refueled, a model of the flight to be refueled, a position of the flight to be refueled, the quantity of the refueling required by the flight to be refueled, and a predicted remaining duration and recommended path for completing the refueling tasks.

The present disclosure provides an intelligent dispatch decision system for a fuel truck, comprising:

the intelligent scheduling decision device of the refueling truck is as described above;

The mobile terminal is used for transmitting oiling task management and control information of an oiling operator; the mobile terminal is used for realizing one or more of task reminding, task execution management, task inquiry, automatic driving control, auxiliary control, oil bill management, flight inquiry, communication with other mobile terminals and task application.

The present disclosure provides a computer readable storage medium having stored thereon a program which, when executed by a processor, implements a method as claimed in any one of the above.

In some embodiments, the intelligent scheduling decision method of the fuelling vehicle disclosed by the invention utilizes airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information to plan the priority sequence of flights to be fuelled, and plans a target fueller and a target fueller which are respectively matched with the flights to be fuelled to obtain task planning information; and distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the to-be-refueled flight, a model of the to-be-refueled flight, a position of the to-be-refueled flight, a refueling amount required by the to-be-refueled flight, a residual duration for estimating the completion of the refueling tasks and a recommended path. In this way, the mission planning information is automatically obtained by uniformly planning by considering information such as airport flight information, airport position information, fuelling vehicle information and fuelling operator information. And according to the task planning information, corresponding refueling tasks are distributed to target refuelers, so that automatic distribution of data information of the refueling tasks is realized. Thus, the workload of the dispatcher is reduced, and the decision-making efficiency is improved.

Drawings

Fig. 1 is a flow chart of an intelligent scheduling decision method for a fuel truck according to an embodiment of the disclosure;

FIG. 2 is a schematic illustration of a flight type prioritization of the intelligent scheduling decision method of the fuel truck of FIG. 1;

FIG. 3 is a schematic illustration of a flight service assurance duration of the intelligent scheduling decision method of the fuel truck of FIG. 1;

FIG. 4 is a schematic illustration of a fueller shift cut for the intelligent dispatch decision method for the fueller shown in FIG. 1;

FIG. 5 is a schematic illustration of the fueller mission time of the intelligent dispatch decision method of the fueller shown in FIG. 1;

FIG. 6 is a schematic illustration of fueling mission allocation of the intelligent dispatch decision method of the fueling vehicle of FIG. 1;

FIG. 7 is a flow chart illustrating one embodiment of the dispense fueling task shown in FIG. 1;

FIG. 8 is a schematic diagram of an all-round video surveillance of the intelligent dispatch decision method of the tanker of FIG. 1;

FIG. 9 is a schematic diagram of automated driving full path monitoring of the intelligent dispatch decision method of the tanker of FIG. 1;

Fig. 10 is a schematic diagram illustrating management and control of a refueling task of a mobile terminal in an intelligent scheduling decision system of a refueling truck according to an embodiment of the disclosure;

FIG. 11 is a block diagram of an intelligent dispatch decision device for a tanker in accordance with an embodiment of the present disclosure;

Fig. 12 is a block diagram of an electronic device according to an embodiment of the disclosure.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with aspects of one or more embodiments of the present description as detailed in the accompanying claims.

It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. Furthermore, individual steps described in this specification, in other embodiments, may be described as being split into multiple steps; while various steps described in this specification may be combined into a single step in other embodiments.

In order to solve the technical problem that the workload of a dispatcher is great, the embodiment of the disclosure provides an intelligent dispatching decision-making method for an oil truck.

The method comprises the steps of planning a priority sequence of flights to be refueled by using airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning a target fuelling vehicle and a target fuelling vehicle which are matched with the flights to be refueled respectively to obtain task planning information; and distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the to-be-refueled flight, a model of the to-be-refueled flight, a position of the to-be-refueled flight, a refueling amount required by the to-be-refueled flight, a residual duration for estimating the completion of the refueling tasks and a recommended path.

In the embodiment of the disclosure, the task planning information is automatically obtained by uniformly planning by considering information such as airport flight information, airport location information, fuelling vehicle information, fuelling agent information and the like. And according to the task planning information, corresponding refueling tasks are distributed to target refuelers, so that automatic distribution of data information of the refueling tasks is realized. Thus, the workload of the dispatcher is reduced, and the decision-making efficiency is improved.

Fig. 1 is a flow chart of an intelligent scheduling decision method for a fuel truck according to an embodiment of the disclosure.

As shown in fig. 1, the intelligent scheduling decision method of the fuel truck according to the embodiment of the present disclosure may include, but is not limited to, the following steps 110 to 120:

And 110, planning the priority sequence of flights to be refueled and planning target refuelers and target refuelers matched with the flights to be refueled respectively by using airport flight information, airport position information, refueler information and refueler information to obtain task planning information.

Wherein, the flight to be refueled refers to a flight needing refueled. The airport flight information is used for reflecting the situation of airport flights, and comprises the number, time window, model, type, state, route and quantity estimation of the airport flights. The flight information query is implemented as: and viewing flight detailed information in real time, wherein the flight detailed information comprises information such as an airline company, a flight, a model, an amount of departure oil, a pre-arrival time, an entry change, a pre-departure time, an exit change, an air route type, a departure time and a state.

The airport level information is used for reflecting the situation of airport levels, and comprises the number and the distance of the airport levels.

The fuelling vehicle information is used for reflecting the condition of the fuelling vehicles and comprises the number of the fuelling vehicles and the vehicle type.

The above-mentioned refueler information is used for reflecting the condition of refueler, it includes the number of refueler, task quantity, working time length. By comprehensively considering the information of all aspects of airport flight information, airport position information, fuelling vehicle information, fuelling staff information and the like, a better scheme can be provided. Further, the fuellers may include, but are not limited to, those who have been at rest and are in an idle state, those who are about to end the last work service, those who are at rest, and those who are not online.

The refuelling vehicle disclosed by the disclosure is a civil aviation special refuelling guarantee vehicle.

Step 120, distributing corresponding refueling tasks to target fuellers according to task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of a flight to be refueled, a model of the flight to be refueled, a position of the flight to be refueled, a refueling amount required by the flight to be refueled, a residual duration for estimating and finishing the refueling tasks and a recommended path.

The remaining time period refers to a working time period for the refueler to finish the refueler task, which is estimated and estimated according to the historical data, and the working time period comprises a refueler task distribution starting time and a refueler finishing time.

The data information of the oiling task comprises the starting service time and the service guarantee duration for starting to execute the oiling task in advance. The service guarantee duration is the sum of the refueling duration (voyage or predicted refueling amount), the basic guarantee duration, the weather influence duration, the special event influence duration, the machine changing and the machine changing set.

Such as an emergency event.

Fig. 2 is a schematic illustration of a flight type prioritization of the intelligent scheduling decision method of the fuel truck of fig. 1.

As shown in fig. 2 in conjunction with fig. 1, the planning of the priority of flights to be refueled in step 110 described above may further include the following two steps. The first step, sorting according to the priority of the flight types in the same oiling service time window; the fueling service time window is a time window between a start service time at which fueling tasks begin to be performed in advance and a predicted completion time at which fueling tasks are completed. And a second step of adjusting the priority order of flights to be refueled according to the priority of the flight types and the delay state.

Continuing with the illustration of FIG. 2, the flight types include normal flights such as circles in FIG. 2, delayed flights such as the triangle points in FIG. 2, and high priority flights such as guests such as black points in FIG. 2. The adjustment rule is N forward bits higher than the normal flight priority, N backward bits lower than the normal flight priority. N represents the number of forward or backward positions.

In some embodiments, the method may further include continuing to prioritize the flight types within the same fueling service time window.

Fig. 3 is a schematic diagram of a flight service guarantee duration rule of the intelligent scheduling decision method of the fuel truck shown in fig. 1.

As shown in fig. 3, the planning of the target fuellers and target fuellers respectively matching the flights to be fuelled in step 110 described above further includes the following four steps.

First, within the fueling service time window, a flight number is determined that can be serviced by the fueling operator.

Among other things, serviceable refuelers are used to reflect refuelers that can provide service, including those that have been at rest and are in an idle state, as well as those that are about to end the last work service.

Wherein the step of "first" described above may be implemented by a plurality of embodiments.

Fig. 4 is a schematic diagram of a fueller shift cut for the intelligent dispatch decision method for the fueller shown in fig. 1.

In the embodiment shown in FIG. 4, the serviceable refuelers are grouped by flight class within the fueling service time window, resulting in a group of serviceable refuelers; and determining the flight flights serviced by the refuelers of the teams according to the teams that can service the refuelers. In this way, the efficiency of determining the flight number of the attendant service can be improved. In another embodiment, the flight flights serviced by the attendant refueler are determined directly for all attendant refuelers during the refueled service time window. For flights falling within the delivery time frame in fig. 4, the next group is serviced.

FIG. 5 is a schematic illustration of the fueller mission time of the intelligent dispatch decision method of the fueller shown in FIG. 1.

Second, as shown in FIG. 5, determining a time difference between the end time of the last job completed by the serviceable fuel filler and the start service time of the flight number serviced by the serviceable fuel filler; the starting service time is the earliest time of the standard time for starting to execute the refueling task in advance and the estimated time for predicting to start to execute the refueling task in advance.

Wherein the start service time is the estimated service start time of the flight, which is also referred to as the estimated start service time.

The last work end time may include an actual end time of the last work. The last work end time may also include the above-described predicted work end time. The corresponding time difference is the difference between the last work end time or predicted end time of the refueler and the start service time of the refueler service flight.

Thirdly, taking the serviceable fueller corresponding to the shortest time difference in the time differences as a target fueller, and taking the flight number serviced by the target fueller as the flight to be fuelled.

Continuing with fig. 5, t=t2-T1, where T is the time difference, T2 is the start service time of the flight, and T1 is the end time of the last job completed by the attendant. Where T >0, the smaller and the more preferred, and T <0, the more preferred.

Fourth, from the idle fuelling vehicles and the fuelling vehicles in service, obtaining the flight optimal service fuelling vehicle as the target fuelling vehicle according to the fuelling vehicle service evaluation relationship; the service evaluation relationship of the refueler comprises the scheduled driving time of the service refueler, the waiting time of the service refueler and the time of flight delay caused by the service refueler.

The dispatching targets of the aviation oil filling vehicles are that the quantity of the filling vehicles is minimum, the time consumption (or the driving distance) of the filling service is minimum, and the service flight tasks of the filling vehicles are balanced.

Continuing, the above-described tank truck service evaluation relationship may be a tank truck service evaluation list relationship, or the tank truck service evaluation relationship may be a tank truck service evaluation function. Wherein, the fuelling vehicle service evaluation function is as follows:

M =

=

=

Wherein M represents the service evaluation of the fuelling vehicle, Indicating the travel time of the tanker from station i or the parking space to station j,A waiting period is indicated and a waiting time period,A delay period of time is indicated,The running time consumption coefficient is indicated,Representing the waiting penalty factor,Representing the delay penalty coefficient,Indicating the earliest service moment of flight j,Indicating the moment of arrival of fuelling vehicle k at stand i,Indicating the time of flight i to refuel service,Indicating the latest service moment for flight j,Indicating the moment of arrival of the fuelling vehicle k at stand j. Therefore, the fuelling vehicle with the smallest evaluation function value in the fuelling vehicle service evaluation relation can be searched from the idle fuelling vehicle and the service fuelling vehicle, and the fuelling vehicle can be used as the target fuelling vehicle for certain flight service.

The step of "fourth" described above may be implemented using various embodiments as follows:

in the first embodiment of the step of the fourth, the service tanker for the flight is obtained as the destination tanker from the empty tanker and the serving tanker according to the tanker service evaluation relationship and the tanker service cost relationship.

The service cost relationship of the fuelling vehicle can be a list relationship of service cost of the fuelling vehicle, and the service cost of the fuelling vehicle can also be a function of the service cost of the fuelling vehicle.

In addition, the method further comprises the steps of determining optimal service cost of the refueling truck based on the selected service refueling truck, and accumulating available total mileage and total service time consumption; and (3) taking the oiling vehicle with the minimum total driving mileage and total service consumption as the target oiling vehicle by integrating the optimal service cost of the oiling vehicle.

Wherein, the fuelling vehicle service cost function: z=

Wherein Z represents the service cost of the fuelling vehicle,Representing the cost spent by fuelling truck k for flight j from either stand i or yard to stand j, when c=d, representing the calculated range (d representing the distance travelled); when c=t+t, it represents the calculation service time consumption (T represents the travel time, and T represents the fueling service time).When the refueler k runs from the station i to the station j and refueles the flight j,And when the refueler k does not perform refueler service for the flight j. Therefore, the service cost function of the fuelling vehicle is adopted, so that the dispatching cost is reduced as much as possible.

In the second embodiment of the step of the fourth, the flight optimal service tanker is obtained as the target tanker from the idle tanker and the serving tanker according to the constraint condition and the tanker service evaluation relationship. Wherein the constraints may include, but are not limited to:

① . The fueller starts from the parking space and returns to the parking space after continuously servicing one or more flights.

② . The same flight is not refueled repeatedly.

③ . Once the refueler is taken out, the required refueler quantity does not exceed the maximum carrying capacity of the refueler.

④ . All flights get refueled within a specified time window.

⑤ . Upper limit of number of single service flights (task balance).

⑥ . And the working time of the fueller is long.

In the embodiment of the disclosure, under the special environment of an airport, the dispatching operation and the refueling operation of the refueling truck have higher quality requirements on related staff, the priority sequence of flights to be refueled is automatically planned, and the target refueling truck which are respectively matched with the flights to be refueled are planned, so that the working intensity of the dispatching staff can be reduced, the operation flow is relatively simplified, and the precision and the high efficiency of the dispatching operation are ensured; and the digitization, automation and intelligent degree of each link are all to be improved.

Fig. 6 is a schematic diagram of fueling mission allocation for the intelligent dispatch decision method of the fueling vehicle of fig. 1.

As shown in fig. 6 in conjunction with fig. 1, the assignment of the corresponding fueling tasks to step 120 described above may be implemented in a variety of embodiments.

In a first embodiment, where the corresponding fueling mission is assigned in step 120, the corresponding fueling mission is assigned directly and automatically to the target fueling operator in accordance with mission planning information. The distribution of the data information of the refueling task can be realized more efficiently.

In the second embodiment, where the corresponding refueling task is allocated in step 120, in combination with step 110, the method further includes obtaining a service priority of the refueler according to the distance from the refueler to the station, the task amount, the working time period, and the comprehensive ranking, where the comprehensive ranking is determined based on the flight information, the distance from the refueler to the station, the task amount, and the working time period; the step 120 may further include assigning a corresponding fueling mission to the target fueling operator based on the mission planning information and the fueling operator service priority.

In a second embodiment, where the corresponding fueling mission is assigned in step 120, the data information of the fueling mission of the refueler is presented to the dispatcher based on the mission planning information, the data information of the fueling mission of the dispatcher for the refueler is received, and the corresponding fueling mission is assigned to the target refueler.

FIG. 7 is a flow chart illustrating an embodiment of the dispensing fueling task shown in FIG. 1.

As shown in fig. 7, in the third embodiment, where the corresponding refueling task is allocated in step 120, the method further includes step 111, where the dispatcher is presented with information to be processed corresponding to the function of the dispatching system. And step 112, receiving auxiliary planning information fed back by a dispatcher aiming at the information to be processed, wherein the auxiliary planning information is used for adjusting the task planning information. The step 120 may further include a step 121 of assigning a corresponding fueling mission to the target fueling operator according to the adjusted mission planning information. In this way, the task planning information is automatically obtained through the system, and the data information of the oiling task is distributed through the auxiliary scheduling of the dispatcher. The dispatcher does not need to know the factors such as the predicted fuel filling amount, the fuel filling operation duration, the inter-aircraft travel distance and the duration of all flights, only needs to continue processing according to the information to be processed corresponding to the functions of the dispatching system, and the processing data amount is small. Meanwhile, the dispatcher assists the system to dispatch together, so that the effectiveness and accuracy of data information distribution of the oiling task can be improved.

There are a number of possible implementations of the above steps 111 and 112:

In a first implementation manner, the step 111 may further include a step 1, where a progress status of the refueling task and data information of the corresponding refueling task are displayed to the dispatcher, so that the dispatcher monitors the progress status of the refueling task. The step 112 may further include a step 2 of receiving auxiliary planning information fed back by the dispatcher for the progress status and the data information of the corresponding fueling task. Therefore, the dispatcher looks up different states of the oiling task in real time, and the dispatching decision is assisted by the data information of the oiling task, so that the dispatching efficiency and the fine management are improved.

Fig. 8 is a schematic diagram of an omnidirectional video monitoring of the intelligent dispatch decision method of the tanker of fig. 1. Fig. 9 is a schematic diagram of automated driving full path monitoring of the intelligent dispatch decision method of the tanker of fig. 1.

In a second implementation, as further shown in fig. 8 and 9, the fuelling vehicle includes an autonomous fuelling vehicle. The step 111 may further include a step 1: acquiring full-path monitoring information of an automatic driving fuelling vehicle, wherein the full-path monitoring information comprises fuelling vehicle information, running information, surrounding environment information, driving monitoring information and abnormal condition processing information; the full path monitoring information is presented to the dispatcher so that the dispatcher monitors the automated driving fuelling vehicle. The step 112 may further include a step 2: and receiving auxiliary planning information fed back by a dispatcher aiming at the full-path monitoring information. Therefore, by butting the information such as the information of the fuelling vehicle, the running information, the surrounding environment information, the driving monitoring, the condition processing and the like of the automatic driving, the full-path tracking, the real-time monitoring and the event reminding of the automatic driving are realized, the scheduling decision is assisted, and the safe driving and the fuelling operation are ensured.

The first implementation manner and the second implementation manner may be executed independently or may be executed in combination.

In a third implementation manner, the step 111 may further include step 1: and under the condition that the images acquired by the vehicle-mounted image acquisition equipment and/or the image acquisition equipment at the auxiliary device end detect abnormality, performing abnormal behavior early warning, and displaying the surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle to a dispatcher so as to enable the dispatcher to monitor the surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle. The whole oiling process of the oiling truck can comprise real-time monitoring of multi-scene switching of a plurality of oiling scenes of the oiling truck, other scenes of the oiling truck and the like. The step 112 may further include step 2 of receiving auxiliary planning information fed back by the dispatcher for abnormal behavior early warning.

The auxiliary device end is used for assisting in completing the oiling task. For example, the auxiliary device may be, but is not limited to, one or more of a robotic arm including a manhole cover opening device and a mechanical gripper of the manhole cover opening device. For another example, the auxiliary device is an auxiliary fueling device for fueling an aircraft. For example, the auxiliary device may be a mechanical arm or a robot.

In the implementation mode, the current optimization scheme provided by the system is combined with the emergency situation processed by the dispatcher, so that the processing capacity of coping with the emergency event can be improved, and the intelligent dispatching is more in accordance with the requirements of actual application scenes. Furthermore, through the multichannel cameras at the vehicle-mounted and auxiliary device ends, a dispatcher can check the surrounding environment of the fuelling vehicle and the whole fuelling process in real time, perform abnormal behavior early warning based on visual intelligence, perform auxiliary dispatch decision on emergency events, pre-judge fuelling progress and perform reasonable dispatch.

In a fourth implementation, the step 110 may further include: the first step, displaying information to be processed corresponding to the dispatching system function to a dispatcher through a display area corresponding to the dispatching system function; the display area of the dispatching system function comprises one or more of a display area of a refueling task, a display area of abnormal alarm and a display area of full path monitoring.

Wherein the first step described above may be implemented in a variety of ways.

In one manner, the first step may further include displaying, in a partition, the information to be processed corresponding to the scheduling system function to the scheduler through a display area corresponding to the scheduling system function. Thus, the respective portions can be displayed in a partitioned manner on the same page.

Next, in another manner, the first step may further include displaying, independently, to the dispatcher, the information to be processed corresponding to the dispatch system function through a display area corresponding to the dispatch system function. Thus, a dispatch system function is independently displayed in a page, highlighting the importance of the dispatch system function.

In the embodiment of the disclosure, the problems of incapacity of scheduling tasks, unbalanced task allocation, inaccurate monitoring of the refueling truck and the like in the current airport guarantee operation are solved through flow optimization by combining manual assistance of a scheduler, the allocation efficiency and quality of the scheduling tasks are optimized, the reasonable allocation of the refueling work is ensured, the utilization rate of the special refueling truck is improved, the cost reduction and synergy of civil aviation guarantee operation are realized, and the intelligent level of the scheduling work and the refueling operation of the civil aviation special refueling truck is improved.

Fig. 10 is a schematic diagram illustrating management and control of a refueling task of a mobile terminal in an intelligent scheduling decision system of a refueling truck according to an embodiment of the disclosure.

Referring to fig. 10, an intelligent scheduling decision system for an oil truck provided by an embodiment of the present disclosure includes an intelligent scheduling decision device for an oil truck as shown in fig. 11 below; the mobile terminal is used for transmitting oiling task management and control information of an oiling operator; the mobile terminal is used for realizing one or more of task reminding, task execution management, task inquiry, automatic driving control, auxiliary control, oil bill management, flight inquiry, communication with other mobile terminals and task application. Thus, one-stop operation application is provided for the oiling operator, the oiling process is simplified, and the auxiliary information is archived and managed in a refined way.

The embodiment of the disclosure also provides that the mobile terminal is also used for realizing task operation, wherein the task operation comprises task information, task progress instant synchronization and operation flow standardization confirmation. Therefore, the accuracy and timeliness of the information are improved, and the operation standardization is improved.

The embodiment of the disclosure also provides that the mobile terminal is also used for realizing multiparty communication service, and multiparty communication service comprises a refueler, a dispatcher and an administrator. Thus, the multi-party communication service means and the multi-party communication service capability are provided, communication and information retention are provided for the fuellers, the dispatchers and the administrators, and the functions of instant messaging, voice calling and the like are supported. Reserving interfaces for communication with airports and other aviation support units.

The mobile terminal may be a handheld terminal. For example, the handheld terminal may be a PAD. The mobile terminal may also be a smart phone, a wearable device, etc., which are not exemplified here.

Based on the same application concept as the method, the embodiment of the disclosure further provides an intelligent scheduling decision device of the refueling truck, as shown in fig. 11, the intelligent scheduling decision device of the refueling truck may include the following modules:

The mission planning information determining module 21 is configured to plan a priority order of flights to be refueled, and plan a target refueler and a target refueler respectively matched with the flights to be refueled by using airport flight information, airport location information, refueler information and refueler information, so as to obtain mission planning information;

The distribution module 22 is configured to distribute a corresponding fueling task to the target fueling operator according to the task planning information, where the data information of the fueling task includes a fueling task number, a flight number of the to-be-fueling flight, a model of the to-be-fueling flight, a location of the to-be-fueling flight, a fueling amount required by the to-be-fueling flight, a remaining duration for estimating completion of the fueling task, and a recommended path.

The implementation process of the functions and roles of each module in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.

Fig. 12 is a block diagram of an electronic device according to an embodiment of the disclosure.

As shown in fig. 12, the electronic device 30 includes one or more processors 31 for implementing the intelligent scheduling decision method of the fuel truck as described above.

In some embodiments, the electronic device 30 may include a computer-readable storage medium 39, and the computer-readable storage medium 39 may store programs that may be invoked by the processor 31, and may include a non-volatile storage medium. In some embodiments, electronic device 30 may include memory 38 and interface 37. In some embodiments, electronic device 30 may also include other hardware depending on the actual application.

The computer readable storage medium 39 of the disclosed embodiment has stored thereon a program which, when executed by the processor 31, is adapted to carry out the intelligent scheduling decision method of a fuel truck as described above.

The present disclosure may take the form of a computer program product embodied on one or more computer-readable storage media 39 (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having program code embodied therein. Computer readable storage media 39 include both permanent and non-permanent, removable and non-removable media, and information storage may be implemented in any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer readable storage media 39 include, but are not limited to: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, may be used to store information that may be accessed by the computing device.

In the description of the present disclosure, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "first," "second," etc. can include at least one such feature, either explicitly or implicitly. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless explicitly specified otherwise.

The foregoing description of the preferred embodiments is provided for the purpose of illustration only, and is not intended to limit the scope of the disclosure, since any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the disclosure are intended to be included within the scope of the disclosure.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the phrase "comprising one … …" does not exclude the presence of additional identical elements in a process, method, article, or apparatus that comprises the depicted element.

Claims (10)

1. The intelligent scheduling decision method for the fuelling vehicle is characterized by being applied to an intelligent scheduling decision system of the fuelling vehicle, and comprises the following steps:

Planning a priority sequence of flights to be refueled by using airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning a target fuelling vehicle and a target fuelling vehicle which are respectively matched with the flights to be refueled to obtain task planning information; the airport flight information comprises a flight delay state;

distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the to-be-refueled flight, a model of the to-be-refueled flight, a position of the to-be-refueled flight, a refueling amount required by the to-be-refueled flight, a predicted remaining duration for completing the refueling tasks and a recommended path;

The method further comprises the steps of: displaying information to be processed corresponding to the functions of the dispatching system to a dispatcher through a mobile terminal; receiving auxiliary planning information fed back by the dispatcher through the mobile terminal for the information to be processed, wherein the auxiliary planning information is used for adjusting the task planning information; and distributing corresponding refueling tasks to the target refuelers according to the task planning information, wherein the task planning information comprises the following steps: distributing corresponding refueling tasks to the target refuelers according to the adjusted task planning information; the mobile terminal comprises a handheld terminal;

the displaying the information to be processed corresponding to the dispatching system function to the dispatcher comprises the following steps:

Under the condition that an image acquired by image acquisition equipment at an auxiliary device end detects abnormality, performing abnormal behavior early warning, and displaying surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle to the dispatcher so that the dispatcher monitors the surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle; the whole oiling process of the oiling truck comprises the process of performing real-time monitoring of multi-scene switching on oiling scenes of a plurality of oiling trucks and other scenes of the oiling truck; the auxiliary device end is used for assisting in completing the oiling task; the auxiliary device at the auxiliary device end comprises at least one of a mechanical arm of a well lid opening device and a mechanical gripper of the well lid opening device, and the auxiliary device at the auxiliary device end comprises at least one of a mechanical arm in an auxiliary oiling device for oiling an aircraft or an auxiliary oiling device for oiling the aircraft; the mobile terminal is also used for realizing multiparty communication service, and multiparty communication service comprises an oiling agent, a dispatcher and an administrator;

The receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps:

and receiving auxiliary planning information fed back by the dispatcher aiming at the abnormal behavior early warning so as to assist in scheduling decision.

2. The intelligent scheduling decision-making method of the fuel truck according to claim 1, wherein the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes: displaying the progress state of the oiling task and the data information of the corresponding oiling task to a dispatcher so that the dispatcher monitors the progress state of the oiling task; the receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps: and receiving auxiliary planning information fed back by the dispatcher aiming at the progress state and the data information of the corresponding refueling task.

3. The intelligent dispatch decision method of a fuel dispenser of claim 1, wherein the fuel dispenser comprises an autonomous fuel dispenser; the displaying the information to be processed corresponding to the dispatching system function to the dispatcher comprises the following steps: acquiring the full-path monitoring information of the automatic driving fuelling vehicle; displaying the full-path monitoring information to the dispatcher so that the dispatcher monitors the automated driving fuelling vehicle; the receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps: and receiving auxiliary planning information fed back by the dispatcher aiming at the full-path monitoring information.

4. The intelligent scheduling decision-making method of the fuel truck according to claim 1, wherein the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes:

Under the condition that an image acquired by vehicle-mounted image acquisition equipment detects abnormality, performing abnormal behavior early warning, and displaying surrounding environment information of the fuelling vehicle and the whole fuelling process of the fuelling vehicle to the dispatcher so that the dispatcher monitors the surrounding environment information of the fuelling vehicle and the whole fuelling process of the fuelling vehicle;

The receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps:

and receiving auxiliary planning information fed back by the dispatcher aiming at the abnormal behavior early warning.

5. The intelligent scheduling decision method of the fuel truck according to any one of claims 1 to 4, wherein the displaying the information to be processed corresponding to the scheduling system function to the scheduler includes: displaying information to be processed corresponding to the dispatching system function to a dispatcher through a display area corresponding to the dispatching system function; the display area of the dispatching system function comprises one or more of a display area of a refueling task, a display area of abnormal alarm and a display area of full path monitoring.

6. The intelligent scheduling decision method of a fuel truck of any one of claims 1 to 4, wherein said planning of a priority of flights to be refueled comprises:

Within the same fueling service time window, sorting according to the flight type priority; the oiling service time window is a time window between the starting service time for starting to execute the oiling task in advance and the estimated finishing time for finishing the oiling task;

and adjusting the priority order of flights to be refueled according to the priority of the flight types and the delay state.

7. The intelligent scheduling decision-making method of a fuelling vehicle according to claim 6, wherein said planning of a target fuelling person and a target fuelling vehicle respectively matching a flight to be fuelled includes:

determining a flight number which can serve the refueler service within the refueled service time window;

Determining a time difference between an end time of a last job completed by the serviceable fuel filler and a start service time of the flight shift serviced by the serviceable fuel filler; the starting service time is the earliest time of standard time for starting to execute the refueling task in advance and estimated time for predicting to start to execute the refueling task in advance;

Taking the serviceable fueller corresponding to the shortest time difference in the time differences as a target fueller, and taking the flight number serviced by the target fueller as a flight to be fuelled;

Obtaining an optimal service fuelling vehicle for flights from the idle fuelling vehicle and the service fuelling vehicle according to the fuelling vehicle service evaluation relationship, and taking the optimal service fuelling vehicle as the target fuelling vehicle; the service evaluation relationship of the refueler comprises the scheduled driving time of the service refueler, the waiting time of the service refueler and the time of flight delay caused by the service refueler.

8. The intelligent scheduling decision-making method of a fuelling vehicle of claim 7, wherein said determining that a serviceable fuelling agent is servicing said flight number within said fuelling service window comprises:

Grouping the service refuelers according to flight flights in the refueler service time window to obtain the groups of the service refuelers;

and determining the flight number of the fueller service of the group according to the group of the fuellers capable of being serviced.

9. An intelligent scheduling decision device for an oil truck, which is characterized by being applied to an intelligent scheduling decision system of the oil truck, comprising:

The task planning information determining module is used for planning the priority sequence of flights to be refueled by utilizing airport flight information, airport position information, fuelling vehicle information and fuelling vehicle information, and planning target fuelling vehicles and target fuelling vehicles which are respectively matched with the flights to be refueled to obtain task planning information; the airport flight information comprises a flight delay state;

the distribution module is used for distributing corresponding refueling tasks to the target fuellers according to the task planning information, wherein the data information of the refueling tasks comprises a refueling task number, a flight number of the flight to be refueled, a model of the flight to be refueled, a position of the flight to be refueled, a refueling amount required by the flight to be refueled, a predicted remaining duration for completing the refueling tasks and a recommended path; the apparatus further comprises: displaying information to be processed corresponding to the functions of the dispatching system to a dispatcher through a mobile terminal; receiving auxiliary planning information fed back by the dispatcher through the mobile terminal for the information to be processed, wherein the auxiliary planning information is used for adjusting the task planning information; the distribution module is specifically configured to: distributing corresponding refueling tasks to the target refuelers according to the adjusted task planning information; the mobile terminal comprises a handheld terminal; the displaying the information to be processed corresponding to the dispatching system function to the dispatcher comprises the following steps: under the condition that an image acquired by image acquisition equipment at an auxiliary device end detects abnormality, performing abnormal behavior early warning, and displaying surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle to the dispatcher so that the dispatcher monitors the surrounding environment information of the fuelling vehicle and the whole process of fuelling of the fuelling vehicle; the whole oiling process of the oiling truck comprises the process of performing real-time monitoring on oiling scenes of a plurality of oiling trucks and performing multi-scene switching on other scenes of the oiling truck; the auxiliary device end is used for assisting in completing the oiling task; the auxiliary device at the auxiliary device end comprises at least one of a mechanical arm of a well lid opening device and a mechanical gripper of the well lid opening device, and the auxiliary device at the auxiliary device end comprises at least one of a mechanical arm in an auxiliary oiling device for oiling an aircraft or an auxiliary oiling device for oiling the aircraft; the mobile terminal is also used for realizing multiparty communication service, and multiparty communication service comprises an oiling agent, a dispatcher and an administrator; the receiving auxiliary planning information fed back by the dispatcher aiming at the information to be processed comprises the following steps: and receiving auxiliary planning information fed back by the dispatcher aiming at the abnormal behavior early warning.

10. An intelligent dispatch decision system for an oil truck, comprising:

The intelligent scheduling decision apparatus of the fuel truck of claim 9;

The mobile terminal is used for transmitting oiling task management and control information of an oiling operator; the mobile terminal is used for realizing one or more of task reminding, task execution management, task inquiry, automatic driving control, auxiliary control, oil bill management, flight inquiry, communication with other mobile terminals and task application.