CN115641033A - Method, equipment and medium for monitoring vehicle transportation process - Google Patents
Method, equipment and medium for monitoring vehicle transportation process Download PDFInfo
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Abstract
The application discloses a method, equipment and a medium for monitoring a vehicle transportation process, wherein the method comprises the following steps: generating a plurality of driving routes according to initial position information and target position information of goods to be transported on the basis of a preset electronic map; determining a corresponding transportation stage of the vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle; under the condition that the vehicle running information is obtained, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route; and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
Description
Technical Field
The application relates to the field of transportation monitoring, in particular to a method, equipment and medium for monitoring a vehicle transportation process.
Background
With the economic development of China, the demand of long-distance goods transportation is increasing. However, the transport vehicle digital monitoring products adopted in the current market are relatively traditional monitoring systems, the functions are single, the manual monitoring is highly depended on, and the risk early warning is not timely and efficient enough. Meanwhile, the system is limited by the network development level, the use scene is relatively limited and closed, and real-time interaction between the transport vehicle and the monitoring personnel cannot be realized through network timely transmission. When the monitoring personnel find that the vehicle transportation is abnormal and the transportation risk is lagged, the safety hidden danger is easy to bring.
Disclosure of Invention
In order to solve the above problem, the present application provides a method for monitoring a vehicle transportation process, including:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported based on a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is acquired, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
In an implementation manner of the present application, analyzing the vehicle operation information to determine whether an abnormal transportation process exists in a process that the vehicle advances according to the driving route includes:
determining the current position of the vehicle according to the positioning information, and matching the current position with the driving route to determine whether the current position is in the driving route;
if not, acquiring historical positioning information corresponding to a plurality of historical monitoring intervals adjacent to the current monitoring interval, and generating a movement track of the vehicle according to the historical positioning information;
predicting a target motion track of the vehicle according to the motion direction and the track curvature of the motion track;
and determining the deviation direction of the target motion trail relative to the driving route so as to determine whether the vehicle has an abnormal transportation process according to the deviation direction.
In an implementation manner of the present application, predicting the target motion trajectory of the vehicle according to the motion direction and the trajectory curvature of the motion trajectory specifically includes:
determining a plurality of mark points contained in the motion track and track curvatures respectively corresponding to the mark points, so as to generate a corresponding mark point data sequence according to the track curvatures; the mark points correspond to positioning information of the vehicle;
according to the motion direction of the motion track, determining the last mark point of which the track curvature exceeds a preset threshold value as a target point from the mark point data sequence;
and taking the target point as a tangent point to form a tangential line, and predicting the target motion track of the vehicle according to the direction of the tangential line.
In one implementation manner of the present application, determining a deviation direction of the target motion trajectory relative to the driving route to determine whether an abnormal transportation process of the vehicle exists according to the deviation direction specifically includes:
moving the vehicle in a direction approaching the driving route as a first deviation direction, and moving the vehicle in a direction away from the driving route as a second deviation direction;
judging whether the target motion track is intersected with the driving route or not under the condition that the deviation direction of the target motion track relative to the driving route is the first deviation direction;
determining that the target motion trajectory does not intersect with the driving route or the deviation direction of the target motion trajectory relative to the driving route is the first deviation direction, wherein the vehicle has a first abnormal transportation process; the first abnormal transportation process is deviation of a driving route.
In an implementation manner of the present application, analyzing the vehicle operation information to determine whether an abnormal transportation process exists in a process that the vehicle advances according to the driving route includes:
determining first acquisition time corresponding to a last mark point in the mark point data sequence and second acquisition time corresponding to a previous mark point adjacent to the last mark point;
the first acquisition time and the second acquisition time are differenced to obtain an acquisition difference value, and the acquisition difference value is compared with the monitoring interval to determine whether the acquisition difference value is consistent with the monitoring interval or not;
if the difference value is not consistent with the preset stop threshold value, comparing the acquisition difference value with the preset stop threshold value, and determining that a second abnormal transportation process exists in the vehicle under the condition that the acquisition difference value is larger than the stop threshold value; the second abnormal transportation process is abnormal stay;
and determining the abnormal stopping time of the vehicle according to the acquisition difference.
In one implementation manner of the present application, after attempting to acquire vehicle operation information corresponding to the vehicle, the method further includes:
determining the type of the road section where the vehicle is located according to the positioning information;
under the condition that the road section type is an expressway, fitting to obtain a transaction path of the vehicle according to transaction data of the vehicle passing through an expressway portal, and calculating a toll corresponding to the transaction path;
comparing the passing fee with an actual passing fee calculated according to transaction data of the vehicle to determine whether the passing fee is consistent with the actual passing fee;
if the difference is not consistent, determining that a third abnormal transportation process exists in the vehicle; and the third abnormal transportation process is abnormal toll.
In an implementation manner of the present application, attempting to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval specifically includes:
if the vehicle running information corresponding to the vehicle is not acquired within a preset number of monitoring intervals, determining that a fourth abnormal transportation process exists in the vehicle; the fourth abnormal transportation process is that the vehicle is off-line.
In one implementation manner of the application, a plurality of transportation stages corresponding to the driving route are determined, and a transportation flow information table of the goods to be transported is generated according to transportation processes corresponding to the transportation stages and transportation types used for executing the transportation processes;
and after the vehicle reaches the destination position information specified by the driving route, tracing the goods to be transported according to the transportation flow information table.
The embodiment of the application provides a supervisory equipment of vehicle transportation process, its characterized in that, equipment includes: at least one processor;
and a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported on the basis of a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is acquired, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
An embodiment of the present application provides a non-volatile computer storage medium, which stores computer-executable instructions, where the computer-executable instructions are configured to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported based on a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is obtained, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
The monitoring method for the vehicle transportation process can bring the following beneficial effects:
the vehicle running information is obtained in real time in the transportation stage of the vehicle, whether the vehicle has an abnormal transportation process or not is determined by analyzing the vehicle running information, the vehicle does not excessively depend on manual monitoring, and the monitoring efficiency is improved. And if an abnormal transportation process exists, early warning information can be automatically generated and pushed to a vehicle for early warning, the traditional human-vehicle interaction early warning mode is replaced, and the method is more timely.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flow chart of a method for monitoring a vehicle transportation process according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating transfer of cargo information according to an embodiment of the present application;
FIG. 3 is a schematic view of an exemplary vehicle transportation process provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of a monitoring device for a vehicle transportation process according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a method for monitoring a vehicle transportation process according to an embodiment of the present application includes:
s101: and generating a plurality of driving routes according to the initial position information and the target position information of the goods to be transported based on a preset electronic map.
The monitoring cloud platform is arranged for monitoring the transportation condition of the vehicle in real time. After the cargo transportation requirement is generated, the monitoring cloud platform can correspondingly add vehicle information, such as license plate numbers, contact names, contact identity numbers, contact telephones, affiliated enterprises, cargo types and the like. Meanwhile, the destination position information acquired by the goods to be transported can be determined according to the goods transportation requirement, and a plurality of driving routes are generated according to the initial position information and the destination position information of the goods to be transported on the basis of a preset electronic map. It should be noted that the driving route may be a plurality of optimal routes finally determined by considering multiple factors such as a transit location, a logistics company, a transportation type, and the like, and is an overall route formed by driving routes corresponding to different transportation types.
S102: determining a corresponding transportation stage of the vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information includes at least location information and transportation status information of the vehicle.
For the goods to be transported, the planned driving route is usually executed by a plurality of transportation types together, and the transportation process of the goods to be transported can be divided into a plurality of transportation stages according to the different transportation types. The types of transportation include vehicles, ships, cargo ships, and the like. After the transportation stage of the vehicle is determined, the monitoring cloud platform can try to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage of the vehicle; the vehicle operation information at least includes positioning information and transportation state information of the vehicle, wherein the positioning information can be obtained through a GPS device pre-bound with the vehicle, and the transportation state information can be obtained through an image acquisition device (such as a camera) arranged on the vehicle, and of course, the transportation state information can also be acquired by a worker holding the image acquisition device after the vehicle reaches the intermediate node.
S103: and under the condition of acquiring the vehicle running information, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process of advancing the vehicle according to the driving route.
If the monitoring cloud platform can acquire the vehicle operation information, the vehicle operation information needs to be further analyzed to judge whether an abnormal transportation process exists in the current vehicle.
In one embodiment, whether the vehicle is deviated or not can be monitored according to the positioning information in the vehicle running information. Firstly, the current position of the vehicle is determined according to the positioning information, and the current position is matched with the driving route, so that whether the current position is in the driving route or not is determined. If not, acquiring historical positioning information corresponding to a plurality of historical monitoring intervals adjacent to the current monitoring interval, generating a motion track of the vehicle according to the historical positioning information, and predicting the target motion track of the vehicle according to the motion direction and the track curvature of the motion track. The target motion trail of the vehicle is predicted according to the motion direction and the trail curvature of the motion trail, and the method can be realized through the following steps:
and determining track curvatures respectively corresponding to the plurality of mark points and the plurality of mark points contained in the motion track, so as to generate a corresponding mark point data sequence according to the track curvatures, wherein the mark points correspond to the positioning information of the vehicle, and one mark point is correspondingly generated every time the positioning information is acquired. The mark point data sequence comprises a plurality of mark points, the acquisition time of the mark points, the track curvatures corresponding to the mark points and the like. After the mark point data sequence is generated, according to the motion direction of the motion track, the last mark point with the track curvature exceeding a preset threshold value is determined as a target point from the mark point data sequence, then the target point is taken as a tangent point to be taken as a tangential line, and therefore the target motion track of the vehicle is predicted according to the direction of the tangential line.
After the target motion track of the vehicle is predicted, the deviation direction of the target motion track relative to the driving route can be determined, and whether the abnormal transportation process exists in the vehicle can be further determined according to the deviation direction. The direction in which the vehicle moves closer to the travel path is a first deviation direction, and the direction in which the vehicle moves farther from the travel path is a second deviation direction. If the deviation direction of the target motion track of the vehicle relative to the driving route is the first deviation direction, whether the target motion track intersects with the driving route or not needs to be judged, if the target motion track does not intersect with the driving route, the fact that the vehicle advances along the driving route close to the planning driving route is proved, but the vehicle cannot be converged onto the correct driving route all the time, and at the moment, the fact that a first abnormal transportation process exists in the vehicle can be judged. Similarly, when the deviation direction of the target motion trail relative to the driving route is a first deviation direction, the vehicle is gradually far away from the planned driving route, the deviation degree of the vehicle is larger and larger along with time, and the vehicle can be determined to have a first abnormal transportation process. The first abnormal transportation process is deviation of a driving route.
In one embodiment, the monitoring cloud platform can determine whether an abnormal transportation process of abnormal stopping exists in the current vehicle in the transportation process according to the acquisition time of the mark point. First, a first acquisition time corresponding to a last mark point in the mark point data sequence and a second acquisition time corresponding to a previous mark point adjacent to the last mark point are determined. And then, the first acquisition time and the second acquisition time are differenced to obtain an acquisition difference value, and the acquisition difference value is compared with the monitoring interval to determine whether the acquisition difference value is consistent with the monitoring interval. If the difference value is greater than the stopping threshold value, it can be determined that a second abnormal transportation process exists in the vehicle, and the second abnormal transportation process is abnormal stopping. After it is determined that the vehicle abnormally stops at a certain position, the abnormal stopping time of the vehicle may be determined based on the above calculated collection difference, and it may be understood that the abnormal stopping time = collection difference-monitoring interval.
It should be noted that, if only one mark point exists in the finally generated vehicle motion trajectory according to the historical positioning information corresponding to the plurality of historical monitoring intervals adjacent to the current monitoring interval, it indicates that the stay time of the current vehicle at the mark point exceeds the duration corresponding to the plurality of historical monitoring intervals, and at this time, it can be directly determined that the vehicle has the second abnormal transportation process. The time length corresponding to a plurality of historical monitoring intervals is greater than or equal to a preset stay threshold.
In one embodiment, the type of the road section where the vehicle is located in the corresponding transportation stage may be a normal road or an expressway, and for the vehicle running on the expressway, the monitoring cloud platform needs to additionally monitor whether the transaction cost of the vehicle is in compliance or not and whether fee evasion behavior exists or not. The monitoring cloud platform can determine the type of the road section where the vehicle is located according to the positioning information. If the type of the road section where the vehicle is located is an expressway, a transaction path of the vehicle is obtained through fitting according to transaction data of the vehicle passing through the expressway, and the toll corresponding to the transaction path is calculated. The toll fee represents a total toll fee required to be paid by the vehicle. After the toll required to be paid by the vehicle is calculated, the toll can be compared with the actual toll calculated according to the transaction data of the vehicle, so as to determine whether the toll and the actual toll are consistent. If the actual payment of the vehicle is inconsistent with the toll which should be paid, the fact that the toll which is actually paid by the vehicle is inconsistent with the toll which should be paid by the vehicle is indicated, and at the moment, the fact that a third abnormal transportation process exists in the vehicle can be determined, and the third abnormal transportation process is abnormal in the toll.
In the transportation process of the vehicle, the monitoring cloud platform can also judge whether the vehicle has an abnormal transportation process such as overspeed, the vehicle mileage does not meet the expected mileage index, and the vehicle transports goods abnormally according to the transportation state information uploaded by the vehicle or uploaded by workers in real time, such as the driving direction, the driving speed, the driving mileage and the like.
If the monitoring cloud platform does not acquire the vehicle operation information corresponding to the vehicles within the preset number of monitoring intervals, it is determined that a fourth abnormal transportation process exists in the vehicles, and the fourth abnormal transportation process is vehicle off-line.
S104: and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
After the fact that any abnormal transportation process exists in the vehicle is determined, the monitoring cloud platform can correspondingly generate early warning information and push the early warning information to the vehicle, and therefore early warning indication is conducted on the vehicle. Meanwhile, the monitoring cloud platform can determine the emergency degree of the abnormal transportation process which occurs at present according to a preset early warning rule, and can remind the vehicle in a mode of remote voice control of workers for some abnormal transportation processes with higher emergency degree, such as abnormal goods.
It should be noted that, in the transportation stage of the vehicle, information such as the early warning information, the vehicle image, the vehicle track and the like generated by the vehicle can be correspondingly recorded on the monitoring cloud platform, so as to support the later data analysis and platform optimization.
Each cargo to be transported and each vehicle are attached with an identification code for unique identification, such as a two-dimensional code, a barcode, an RFID tag, or the like. In the process of acquiring the transportation, no matter any transit place is reached, the information of the origin, the carrier and the like of the goods and all transit places and destinations in the subsequent transportation process can be checked through the identification code. As shown in fig. 2, a transfer diagram of goods information not only can obtain transfer information of goods, but also can trace back to other information such as origin and origin of the goods by scanning the identification code.
As shown in fig. 3, which is an example of a transportation process of a vehicle, after a cargo is delivered by the vehicle, the cargo can be transported by a ship and a cargo ship, and finally, the vehicle continues to transport the cargo to a destination. Therefore, in the transportation process of the goods, a plurality of transportation stages corresponding to the driving route can be determined, and a transportation flow information table of the goods to be transported is generated according to the transportation processes corresponding to the transportation stages and the transportation types for executing the transportation processes. After the vehicle reaches a destination position specified by the travel route, the consignee receives the goods. After receiving goods, the whole life cycle of the goods can be developed and traced according to the generated transportation flow information table, and the whole flow information of goods transportation can be known.
The above is a method embodiment proposed in the present application. Based on the same idea, one or more embodiments of the present specification further provide an apparatus and a medium corresponding to the above method.
Fig. 4 is a schematic structural diagram of a monitoring device for a vehicle transportation process according to an embodiment of the present application, where the device includes: at least one processor;
and a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported on the basis of a preset electronic map;
determining a corresponding transportation stage of the vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is obtained, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
An embodiment of the present application provides a non-volatile computer storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are set to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported on the basis of a preset electronic map;
determining a corresponding transportation stage of the vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition of acquiring the vehicle running information, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for monitoring the progress of a vehicle transport, the method comprising:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported based on a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is acquired, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
2. The method for monitoring the vehicle transportation process according to claim 1, wherein the step of analyzing the vehicle operation information to determine whether an abnormal transportation process exists in the process of advancing the vehicle according to the driving route specifically comprises the steps of:
determining the current position of the vehicle according to the positioning information, and matching the current position with the driving route to determine whether the current position is in the driving route;
if not, acquiring historical positioning information corresponding to a plurality of historical monitoring intervals adjacent to the current monitoring interval, and generating a movement track of the vehicle according to the historical positioning information;
predicting a target motion track of the vehicle according to the motion direction and the track curvature of the motion track;
and determining the deviation direction of the target motion trail relative to the driving route so as to determine whether the vehicle has an abnormal transportation process according to the deviation direction.
3. The method for monitoring the vehicle transportation process according to claim 2, wherein predicting the target motion trajectory of the vehicle according to the motion direction and the trajectory curvature of the motion trajectory specifically comprises:
determining a plurality of mark points contained in the motion track and track curvatures respectively corresponding to the mark points, so as to generate a corresponding mark point data sequence according to the track curvatures; the mark points correspond to positioning information of the vehicle;
according to the motion direction of the motion track, determining the last mark point with the track curvature exceeding a preset threshold value as a target point from the mark point data sequence;
and taking the target point as a tangent point to form a tangential line, and predicting the target motion track of the vehicle according to the direction of the tangential line.
4. The method for monitoring the vehicle transportation process according to claim 2, wherein a deviation direction of the target motion trajectory relative to the driving route is determined, so as to determine whether the vehicle has an abnormal transportation process according to the deviation direction, specifically comprising:
moving the vehicle in a direction approaching the driving route as a first deviation direction, and moving the vehicle in a direction away from the driving route as a second deviation direction;
judging whether the target motion track is intersected with the driving route or not under the condition that the deviation direction of the target motion track relative to the driving route is the first deviation direction;
determining that the target motion track does not intersect with the driving route, or the deviation direction of the target motion track relative to the driving route is the first deviation direction, and determining that a first abnormal transportation process exists in the vehicle; the first abnormal transportation process is deviation of a driving route.
5. The method for monitoring the vehicle transportation process according to claim 3, wherein the step of analyzing the vehicle operation information to determine whether an abnormal transportation process exists in the process that the vehicle advances along the driving route specifically comprises the following steps:
determining a first acquisition time corresponding to a last mark point in the mark point data sequence and a second acquisition time corresponding to a previous mark point adjacent to the last mark point;
the first acquisition time and the second acquisition time are differed to obtain an acquisition difference value, and the acquisition difference value is compared with the monitoring interval to determine whether the acquisition difference value is consistent with the monitoring interval or not;
if the difference value is not consistent with the preset stop threshold value, comparing the acquisition difference value with the preset stop threshold value, and determining that a second abnormal transportation process exists in the vehicle under the condition that the acquisition difference value is larger than the stop threshold value; the second abnormal transportation process is abnormal stay;
and determining the abnormal stopping time of the vehicle according to the acquisition difference.
6. The method for monitoring the transportation process of the vehicle as claimed in claim 1, wherein after attempting to obtain the vehicle operation information corresponding to the vehicle, the method further comprises:
determining the type of the road section where the vehicle is located according to the positioning information;
under the condition that the road section type is an expressway, fitting to obtain a transaction path of the vehicle according to transaction data of the vehicle passing through an expressway portal, and calculating a toll corresponding to the transaction path;
comparing the passing fee with an actual passing fee calculated according to transaction data of the vehicle to determine whether the passing fee is consistent with the actual passing fee;
if the difference is not consistent, determining that a third abnormal transportation process exists in the vehicle; and the third abnormal transportation process is abnormal toll.
7. The method for monitoring the vehicle transportation process according to claim 1, wherein attempting to acquire the vehicle operation information corresponding to the vehicle according to a preset monitoring interval specifically includes:
if the vehicle running information corresponding to the vehicle is not acquired within a preset number of monitoring intervals, determining that a fourth abnormal transportation process exists in the vehicle; the fourth abnormal transportation progress is that the vehicle is off-line.
8. A method for monitoring the progress of a vehicle's transport according to claim 1, characterized in that it further comprises:
determining a plurality of transportation stages corresponding to the driving route, and generating a transportation flow information table of the goods to be transported according to transportation processes corresponding to the transportation stages and transportation types for executing the transportation processes;
and after the vehicle reaches the destination position information specified by the driving route, tracing the goods to be transported according to the transportation flow information table.
9. A device for monitoring the progress of the transport of a vehicle, characterized in that it comprises: at least one processor;
and a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported based on a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is obtained, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
generating a plurality of driving routes according to initial position information and target position information of goods to be transported based on a preset electronic map;
determining a corresponding transportation stage of a vehicle in the driving route, and trying to acquire vehicle operation information corresponding to the vehicle according to a preset monitoring interval in the transportation stage; the vehicle operation information at least comprises positioning information and transportation state information of the vehicle;
under the condition that the vehicle running information is obtained, analyzing the vehicle running information to determine whether an abnormal transportation process exists in the process that the vehicle advances according to the driving route;
and when the abnormal transportation process of the vehicle is determined, generating early warning information corresponding to the abnormal transportation process, and sending the early warning information to the vehicle for early warning.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115776610A (en) * | 2023-02-10 | 2023-03-10 | 北京徐工汉云技术有限公司 | Camera shooting control method and device for cargo monitoring of freight vehicle |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115776610A (en) * | 2023-02-10 | 2023-03-10 | 北京徐工汉云技术有限公司 | Camera shooting control method and device for cargo monitoring of freight vehicle |
| CN115776610B (en) * | 2023-02-10 | 2023-04-07 | 北京徐工汉云技术有限公司 | Camera shooting control method and device for cargo monitoring of freight vehicle |
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