CN113743878B - Order dispatching method and device for hydrogen energy transport vehicle and computer equipment - Google Patents
Order dispatching method and device for hydrogen energy transport vehicle and computer equipment Download PDFInfo
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Abstract
The application relates to a method and a device for dispatching orders of hydrogen energy transport vehicles, computer equipment and storage media, and improves the efficiency and safety of hydrogen energy transport. The hydrogen energy transport vehicle dispatching method provided by the invention comprises the steps of firstly evaluating a transport route, simultaneously evaluating the driving behavior of a driver, then comprehensively evaluating the transport route and the evaluation result of the driving behavior, and selecting a target hydrogen energy transport vehicle for dispatching. The method has positive significance for safe and efficient transportation of hydrogen energy.
Description
Technical Field
The application relates to the technical field of new energy, in particular to a method and a device for dispatching orders of a hydrogen energy transport vehicle, computer equipment and a storage medium.
Background
The development of the hydrogen energy industry is an important way for optimizing an energy consumption structure and realizing interconnection and intercommunication of a power grid and an air grid. The development of the hydrogen energy industry can also effectively drive the development of the manufacturing industry of high-end equipment such as new materials, new energy automobiles, hydrogen storage and transportation and the like, and has important significance for accelerating the adjustment of industrial structures and realizing high-quality development in China. The new energy automobile and the big data are fused together, and are the model of industrialization and informatization deep fusion, and the intelligent new energy automobile based on the big data is the key direction of transformation and upgrading of the automobile industry in China.
However, researches show that due to specific transportation requirements of hydrogen energy transportation, the problems of unreasonable resource scheduling and low transportation efficiency exist during hydrogen energy transportation.
Disclosure of Invention
In view of the above, there is a need to provide a hydrogen energy transport vehicle order dispatching method, device, computer equipment and storage medium, which can safely, efficiently and reasonably dispatch the hydrogen energy transport vehicle.
A method of dispatching a hydrogen energy transport vehicle, the method comprising:
acquiring demand information of hydrogen energy freight, wherein the demand information of hydrogen energy freight comprises a freight target point and hydrogen energy transport volume;
acquiring the position of a hydrogenation station and the residual fuel reserve;
acquiring candidate hydrogen energy transport vehicles based on the position of the hydrogenation station and the residual fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of a hydrogenation station capable of providing hydrogen energy transport capacity;
acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, a freight destination point and a hydrogen energy transportation specification;
acquiring a driver driving image acquired on each candidate hydrogen energy transport vehicle and driving behavior data acquired by a driving sensor on each candidate hydrogen energy transport vehicle; the driving behavior data includes: speed, acceleration, steering angle, and steering wheel grip information;
obtaining a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver;
acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time;
inputting the first driving behavior evaluation result and the second driving behavior evaluation result into a preset evaluation model, and outputting a third driving behavior evaluation result;
selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result;
and dispatching a bill to the target hydrogen energy transport vehicle.
In one embodiment, the image sensor includes: a camera and an infrared sensor.
In one embodiment, acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time includes:
acquiring electronic fence information according to the corresponding time;
and acquiring a second driving behavior evaluation result based on the historical position and the corresponding electronic fence information.
In one embodiment, obtaining the candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, the freight destination point and the hydrogen energy transportation specification comprises:
taking the position of a hydrogen filling station corresponding to an idle hydrogen energy transport vehicle as a starting point, taking the freight destination point as an end point, and taking a service station between each starting point and the corresponding end point as an intermediate station to construct a freight directed graph;
inputting the freight directed graphs and vehicle information of idle hydrogen energy transport vehicles into a preset graph model, and outputting candidate transport paths and corresponding candidate hydrogen energy transport vehicles; the weight parameters of the graph model comprise path safety, transportation efficiency and vehicle evaluation coefficients; the hydrogen transport requirement is taken as an influencing factor for the path safety.
In one embodiment, the method further comprises: acquiring current Beidou positioning information, GPS positioning information and vehicle-mounted environment perception information of the candidate hydrogen energy transport vehicle; and taking the Beidou positioning information and GPS positioning information of the current time as the input of a Kalman filtering algorithm, and taking the vehicle-mounted environment perception information as the constraint of the Kalman filtering algorithm to obtain the position of the candidate hydrogen energy transport vehicle.
In one embodiment, obtaining a first driving behavior evaluation result of the driver according to the driving image of the driver and the driving behavior data comprises:
acquiring the head characteristics of the driver according to the camera image and the infrared driving image;
acquiring driving behavior characteristics of the driver according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle, wherein the driving behavior characteristics comprise a pinching gesture characteristic, a vehicle body speed, a steering wheel rotation amplitude and vehicle condition information;
and inputting the head characteristics and the driving behavior characteristics into a preset driving behavior monitoring model to obtain the first driving behavior evaluation result.
In one embodiment, acquiring the head feature of the driver according to the camera image and the infrared driving image comprises:
acquiring human eye fatigue recognition characteristic parameters and expression characteristic parameters according to the face image in the camera image;
acquiring running track deviation information according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle and a preset track;
and inputting the human eye fatigue recognition characteristic parameters, the expression characteristic parameters, the corresponding vehicle condition information and the running track deviation information into a driving behavior evaluation model to obtain a first driving behavior evaluation result.
An order delivery apparatus for a hydrogen energy transport vehicle, the apparatus comprising:
the acquisition module is used for acquiring the demand information of hydrogen energy freight, and the demand information of hydrogen energy freight comprises a freight target point and hydrogen energy transport amount; acquiring the position of a hydrogenation station and the residual fuel reserve;
the route calculation module is used for acquiring candidate hydrogen energy transport vehicles based on the positions of the hydrogenation stations and the residual fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of a hydrogenation station capable of providing hydrogen energy transport capacity; acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, a freight destination point and a hydrogen energy transportation specification;
the driving evaluation module is used for acquiring the driver driving image acquired by each candidate hydrogen energy transport vehicle and the driving behavior data acquired by the driving sensor on each candidate hydrogen energy transport vehicle; the driving behavior data includes: speed, acceleration, steering angle, and steering wheel grip information; obtaining a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver; acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time;
the selection module is used for inputting the first driving behavior evaluation result and the second driving behavior evaluation result into a preset evaluation model and outputting a third driving behavior evaluation result; selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result; and dispatching a bill to the target hydrogen energy transport vehicle.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method described above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The hydrogen energy transportation vehicle dispatching method, the hydrogen energy transportation vehicle dispatching device, the computer equipment and the storage medium improve the efficiency and safety of hydrogen energy transportation. According to the hydrogen energy transport vehicle dispatching method provided by the embodiment of the method, the hydrogen energy transport is comprehensively evaluated from two large aspects of a running path of safe transport and the driving behavior of a driver, a target transport scheme is obtained, and dispatching is carried out. The method has positive significance for safe and efficient transportation of hydrogen energy.
Drawings
FIG. 1 is a diagram of an exemplary hydrogen-energy transport vehicle dispatch method;
FIG. 2 is a schematic flow chart diagram of a method for dispatching orders for hydrogen energy transport vehicles in one embodiment;
FIG. 3 is a schematic flow chart illustrating the steps of dispatching a hydrogen energy transport vehicle;
FIG. 4 is a block diagram of an order dispatching device of a hydrogen energy transport vehicle in one embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The order dispatching method of the hydrogen energy transport vehicle can be applied to the application environment shown in the figure 1. Wherein the server 104 communicates with the terminal 102 and the service site 106. Service site 106 may be, among other things, a hydrogen station, or other type of vehicle service site. The terminal 102 is a smart terminal for communication between the freight vehicle and the server, and may be in the form of, but not limited to, various vehicle-mounted terminals, personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for dispatching hydrogen energy transportation vehicles is provided, which is illustrated by applying the method to the server in fig. 1, and comprises the following steps:
step S110: acquiring demand information of hydrogen energy freight, wherein the demand information of hydrogen energy freight comprises a freight target point and hydrogen energy transport volume.
The demand information of hydrogen energy freight includes the demand of hydrogen energy source, the demand side, the demand time and the transportation requirement.
Step S120: acquiring the position of a hydrogenation station and the residual fuel reserve; acquiring candidate hydrogen energy transport vehicles based on the position of the hydrogenation station and the residual fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of the hydrogenation station capable of providing hydrogen energy transport capacity.
After the server 104 obtains the demand information of hydrogen energy freight, it obtains the hydrogen stations meeting the demand and the idle freight vehicles meeting the transportation requirements, and uses the idle freight vehicles meeting the transportation requirements within the preset range of the hydrogen stations meeting the demand as candidate hydrogen stations and candidate freight vehicles. The remaining fuel inventory may be considered first, followed by location, in determining whether the hydroprocessing site meets demand. Further, evaluation information of historical transportation of each hydrogenation site may be considered. The historical evaluation information can be evaluated from the aspects of distribution frequency of hydrogenation sites, diversity of selectable intermediate sites, positions, scales, equipment specification states and the like. Wherein the intermediate site is a service site of the freight vehicle. The candidate hydrogen energy transport vehicle corresponding to the candidate station is a freight vehicle which can meet the transport requirement and execute the hydrogen energy task of transporting the corresponding candidate station. The source of the information for the intermediate site may be the service site 106 communicating with the server 104. It is also possible to obtain by means of V2X such as vehicle-to-vehicle communication (V2V), vehicle-to-road communication (V2 r), and the like.
Step S130: and acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, the freight destination point and the hydrogen energy transportation specification.
The server 104 may use the restriction of the road transportation area in the hydrogen energy transportation specification as the restriction of the existing route algorithm model, use the position of the candidate hydrogen energy transportation vehicle and the shipping target point as inputs, and calculate the route from the position of the candidate hydrogen energy transportation vehicle to the shipping target point. Optionally, the server 104 further needs to use the hydrogen refueling station corresponding to the candidate hydrogen energy transportation vehicle as a limiting condition for path calculation. In addition, in some cases, the constraint condition of path calculation may be considered to be an intermediate station between the hydrogen refueling station and the freight destination point, where the intermediate station is a service station where the corresponding candidate hydrogen energy transport vehicle can stop. It should be clear that dockable is not to be equated with an inevitable dock, and that the driver of the freight vehicle during transport can autonomously choose whether to enter a docking station or at which docking station to dock, depending on the driving situation.
As an alternative embodiment, after determining the starting point, the shipping target point and the intermediate point, the construction of the shipping directed graph may be performed. The shipping directed graph corresponds to the alternative transport paths for the vehicle. Inputting each freight directed graph into a preset graph model, and outputting target candidate paths of each candidate hydrogen energy transport vehicle; the weight parameters of the graph model comprise path safety, transportation efficiency and vehicle evaluation coefficients; the hydrogen transport requirement is taken as an influencing factor for the path safety.
Step S140: acquiring a driver driving image acquired on each candidate hydrogen energy transport vehicle and driving behavior data acquired by a driving sensor on each candidate hydrogen energy transport vehicle; and acquiring a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver.
Wherein the driving behavior data comprises: speed, acceleration, steering angle, and steering wheel grip information.
Alternatively, the driver driving image may be acquired by an onboard camera, and may be acquired by an infrared sensor. Alternatively, the driving behavior data may be acquired by sensors installed in and in the vehicle.
In one optional embodiment, the server 104 acquires the head feature of the driver according to the camera image and the infrared driving image; acquiring driving behavior characteristics of the driver according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle, wherein the driving behavior characteristics comprise a pinching gesture characteristic, a vehicle body speed, a steering wheel rotation amplitude and vehicle condition information; and inputting the head characteristics and the driving behavior characteristics into a preset driving behavior monitoring model to obtain the first driving behavior evaluation result. Optionally, after the server 104 acquires the driver driving image and the driving behavior data, acquiring human eye fatigue recognition characteristic parameters and expression characteristic parameters according to the face image in the camera image; acquiring running track deviation information according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle and a preset track; and inputting the human eye fatigue recognition characteristic parameters, the expression characteristic parameters, the corresponding vehicle condition information and the running track deviation information into a driving behavior evaluation model to obtain a first driving behavior evaluation result.
Optionally, the server 104 may spatio-temporally align the infrared image and the camera image; carrying out pixel weighting on the infrared image and the camera image after the time-space alignment to obtain a fused image; and obtaining human eye fatigue recognition characteristic parameters and expression characteristic parameters according to the fusion image. The embodiment can avoid information loss caused by feature extraction of various images, and can play a role in mutual complementation of image information by performing feature extraction after fusing the images.
Step S150: and acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and acquiring a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time.
Optionally, the server 104 obtains historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtains a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time. Specifically, the electronic fence information is obtained according to the corresponding time; and acquiring a second driving behavior evaluation result based on the historical position and the corresponding electronic fence information.
Step S160: selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result; and dispatching a bill to the target hydrogen energy transport vehicle.
The hydrogen energy transportation vehicle dispatching method provided by the embodiment comprehensively evaluates hydrogen energy transportation from two large aspects of a driving path of safe transportation and a driving behavior of a driver, obtains a target transportation scheme and dispatches the order. The method has positive significance for safe and efficient transportation of hydrogen energy.
In one embodiment, as shown in fig. 3, the method further comprises:
step S170: and acquiring the current Beidou positioning information, GPS positioning information and vehicle-mounted environment perception information of the candidate hydrogen energy transport vehicle. The vehicle-mounted environment perception information may include an image obtained by an image sensor of a vehicle or a point cloud obtained by a radar sensor.
Step S180: and outputting the position of the candidate hydrogen energy transport vehicle by taking the Beidou positioning information and the GPS positioning information at the current time as the input of a Kalman filtering algorithm and taking the vehicle-mounted environment perception information as the constraint of the Kalman filtering algorithm.
The method of this embodiment processes the positioning information obtained by the multiple position information acquisition sources through the kalman filter algorithm, and the obtained position is more accurate, and further, since the position information is the basis for calculating the multiple state change information, when the position information is used to perform the corresponding state change calculation, the obtained result is more accurate, for example: when the position information is used for the calculation of the change of the driving state of the vehicle and the calculation of the change of the transportation information, the obtained result is necessarily more accurate.
It should be understood that although the various steps in the flow charts of fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 4, there is provided a hydrogen energy transport vehicle order dispatching device comprising:
an obtaining module 410, configured to obtain demand information of hydrogen energy freight, where the demand information of hydrogen energy freight includes a freight destination point and a hydrogen energy transport amount; acquiring the position of a hydrogenation station and the residual fuel reserve;
a path calculation module 420 for obtaining candidate hydrogen energy transport vehicles based on the locations of the hydrogen refueling stations and the remaining fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of a hydrogenation station capable of providing hydrogen energy transport capacity; acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, a freight destination point and a hydrogen energy transportation specification;
the driving evaluation module 430 is used for acquiring the acquired driver driving image of each candidate hydrogen energy transport vehicle and the driving behavior data acquired by the driving sensor of each candidate hydrogen energy transport vehicle; the driving behavior data includes: speed, acceleration, steering angle, and steering wheel grip information; obtaining a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver; acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time;
the selection module 440 is configured to input the first driving behavior evaluation result and the second driving behavior evaluation result into a preset evaluation model, and output a third driving behavior evaluation result; selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result; and dispatching a bill to the target hydrogen energy transport vehicle.
In one optional embodiment, the driving evaluation module 430 is configured to obtain the electronic fence information according to the corresponding time; and acquiring a second driving behavior evaluation result based on the historical position and the corresponding electronic fence information.
In one optional embodiment, the path calculation module 420 is configured to construct a shipping directed graph by using the position of the hydrogen refueling station corresponding to the idle hydrogen energy transportation vehicle as the starting point, using the shipping target point as the destination, and using the service stations between the starting points and the corresponding destinations as intermediate stations; inputting the freight directed graphs and vehicle information of idle hydrogen energy transport vehicles into a preset graph model, and outputting candidate transport paths and corresponding candidate hydrogen energy transport vehicles; the weight parameters of the graph model comprise path safety, transportation efficiency and vehicle evaluation coefficients; the hydrogen transport requirement is taken as an influencing factor for the path safety.
In one optional embodiment, the obtaining module 410 is further configured to obtain current beidou positioning information, GPS positioning information, and vehicle-mounted environment perception information of the candidate hydrogen energy transport vehicle; and taking the Beidou positioning information and GPS positioning information of the current time as the input of a Kalman filtering algorithm, and taking the vehicle-mounted environment perception information as the constraint of the Kalman filtering algorithm to obtain the position of the candidate hydrogen energy transport vehicle.
In one optional embodiment, the driving evaluation module 430 is configured to obtain a head feature of the driver according to the camera image and the infrared driving image; acquiring driving behavior characteristics of the driver according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle, wherein the driving behavior characteristics comprise a pinching gesture characteristic, a vehicle body speed, a steering wheel rotation amplitude and vehicle condition information; and inputting the head characteristics and the driving behavior characteristics into a preset driving behavior monitoring model to obtain the first driving behavior evaluation result.
In one optional embodiment, the driving evaluation module 430 is configured to obtain a human eye fatigue recognition feature parameter and an expression feature parameter according to a face image in the camera image; acquiring running track deviation information according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle and a preset track; and inputting the human eye fatigue recognition characteristic parameters, the expression characteristic parameters, the corresponding vehicle condition information and the running track deviation information into a driving behavior evaluation model to obtain a first driving behavior evaluation result.
For specific limitations of the dispatching device of the hydrogen energy transport vehicle, reference may be made to the above limitations of the dispatching method of the hydrogen energy transport vehicle, and further description thereof is omitted here. The modules in the dispatching device of the hydrogen energy transport vehicle can be completely or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing freight vehicle related data, hydrogenerator related data and intermediate station and road related data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a dynamic hydrogen energy freight route planning method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the dynamic hydrogen energy freight route planning method in the above embodiments when executing the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the dynamic hydrogen energy freight route planning method in the above-described embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of dispatching a hydrogen energy transport vehicle, the method comprising:
acquiring demand information of hydrogen energy freight, wherein the demand information of hydrogen energy freight comprises a freight target point and hydrogen energy transport volume;
acquiring the position of a hydrogenation station and the residual fuel reserve;
acquiring candidate hydrogen energy transport vehicles based on the position of the hydrogenation station and the residual fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of a hydrogenation station capable of providing hydrogen energy transport capacity;
acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, a freight destination point and a hydrogen energy transportation specification;
acquiring a driver driving image acquired on each candidate hydrogen energy transport vehicle and driving behavior data acquired by a driving sensor on each candidate hydrogen energy transport vehicle; the driving behavior data includes: speed, acceleration, steering angle, and steering wheel grip information;
obtaining a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver;
acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time;
inputting the first driving behavior evaluation result and the second driving behavior evaluation result into a preset evaluation model, and outputting a third driving behavior evaluation result;
selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result;
and dispatching a bill to the target hydrogen energy transport vehicle.
2. The method of claim 1, wherein the hydrogen energy transport vehicle has an image sensor mounted thereon for capturing the driver driving image, the image sensor comprising: a camera and an infrared sensor.
3. The method of claim 1, wherein obtaining historical positional information and corresponding times of the candidate hydrogen energy transport vehicle and obtaining a second driving behavior assessment result of the driver based on the historical positional information and corresponding times comprises:
acquiring electronic fence information according to the corresponding time;
and acquiring a second driving behavior evaluation result based on the historical positioning information and the corresponding electronic fence information.
4. The method of claim 1, wherein obtaining a candidate transportation path based on the location of the candidate hydrogen energy transport vehicle, a freight destination point, and a hydrogen energy transport specification comprises:
taking the position of a hydrogen filling station corresponding to an idle hydrogen energy transport vehicle as a starting point, taking the freight destination point as an end point, and taking a service station between each starting point and the corresponding end point as an intermediate station to construct a freight directed graph;
inputting the freight directed graphs and vehicle information of idle hydrogen energy transport vehicles into a preset graph model, and outputting candidate transport paths and corresponding candidate hydrogen energy transport vehicles; the weight parameters of the graph model comprise path safety, transportation efficiency and vehicle evaluation coefficients; the hydrogen transport requirement is taken as an influencing factor for the path safety.
5. The method of claim 1, further comprising:
acquiring current Beidou positioning information, GPS positioning information and vehicle-mounted environment perception information of the candidate hydrogen energy transport vehicle;
and taking the Beidou positioning information and GPS positioning information of the current time as the input of a Kalman filtering algorithm, and taking the vehicle-mounted environment perception information as the constraint of the Kalman filtering algorithm to obtain the position of the candidate hydrogen energy transport vehicle.
6. The method of claim 2, wherein obtaining a first driving behavior assessment of the driver based on the driver driving image and the driving behavior data comprises:
acquiring the head characteristics of the driver according to the camera image acquired by the camera and the infrared driving image acquired by the infrared sensor;
acquiring driving behavior characteristics of the driver according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle, wherein the driving behavior characteristics comprise a pinching gesture characteristic, a vehicle body speed, a steering wheel rotation amplitude and vehicle condition information;
and inputting the head characteristics and the driving behavior characteristics into a preset driving behavior monitoring model to obtain the first driving behavior evaluation result.
7. The method of claim 6, wherein obtaining the driver's head features from the camera image and the infrared driving image comprises:
acquiring human eye fatigue recognition characteristic parameters and expression characteristic parameters according to the face image in the camera image;
acquiring running track deviation information according to the speed, the acceleration, the steering angle and the steering wheel grip strength information of the candidate hydrogen energy transport vehicle and a preset track;
and inputting the human eye fatigue recognition characteristic parameters, the expression characteristic parameters, the corresponding vehicle condition information and the running track deviation information into a driving behavior evaluation model to obtain a first driving behavior evaluation result.
8. An order dispatching device for a hydrogen energy transport vehicle, the device comprising:
the acquisition module is used for acquiring the demand information of hydrogen energy freight, and the demand information of hydrogen energy freight comprises a freight target point and hydrogen energy transport amount; acquiring the position of a hydrogenation station and the residual fuel reserve;
the route calculation module is used for acquiring candidate hydrogen energy transport vehicles based on the positions of the hydrogenation stations and the residual fuel reserves; the candidate hydrogen energy transport vehicle is an idle hydrogen energy transport vehicle within a preset range of a hydrogenation station capable of providing hydrogen energy transport capacity; acquiring a candidate transportation path based on the position of the candidate hydrogen energy transportation vehicle, a freight destination point and a hydrogen energy transportation specification;
the driving evaluation module is used for acquiring the driver driving image acquired by each candidate hydrogen energy transport vehicle and the driving behavior data acquired by the driving sensor on each candidate hydrogen energy transport vehicle; the driving behavior data includes: speed, acceleration, steering angle, and steering wheel grip information; obtaining a first driving behavior evaluation result of the driver according to the driving image and the driving behavior data of the driver; acquiring historical positioning information and corresponding time of the candidate hydrogen energy transport vehicle, and obtaining a second driving behavior evaluation result of the driver according to the historical positioning information and the corresponding time;
the selection module is used for inputting the first driving behavior evaluation result and the second driving behavior evaluation result into a preset evaluation model and outputting a third driving behavior evaluation result; selecting a target hydrogen energy transport vehicle from the candidate hydrogen energy transport vehicles based on the candidate transport route and the third driving behavior evaluation result; and dispatching a bill to the target hydrogen energy transport vehicle.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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