CN115577145B - Transportation information storage method, apparatus, electronic device, medium, and program product - Google Patents
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Abstract
Embodiments of the present disclosure disclose transportation information storage methods, apparatuses, electronic devices, media, and program products. One embodiment of the method comprises the following steps: in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information, determining a preset transportation route corresponding to the article transportation information; determining a corresponding transportation route in a preset transportation route according to the initial transportation site and the vehicle positioning information included in the article transportation information; in response to determining that the route transportation track is the same as the transportation route, marking the vehicle transportation information to generate marked vehicle transportation information; determining whether a storage node corresponding to the supply end identifier exists in the storage node group; in response to determining that there is a storage node in the storage node group that corresponds to the vehicle identification and the supply end identification, the tagged vehicle transportation information is stored in the storage node. This embodiment avoids chaotic storage of transportation information and reduces the storage pressure of a single storage node.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technology, and in particular, to a transportation information storage method, apparatus, electronic device, medium, and program product.
Background
In the field of logistics, in order to monitor the transport state of each transport vehicle, the following methods are generally adopted: and (3) planning a transportation route in advance, sending the transportation route to the transportation vehicles, and storing the transportation information fed back by each transportation vehicle into a set database every a period of time.
However, the following technical problems generally exist in the above manner:
firstly, when more transport vehicles exist, the feedback data volume is larger, so that the storage pressure of a database is larger;
secondly, the authenticity of the information sent by the transport vehicle is not verified, so that a lot of false transport information is stored, and the storage resources of the database are wasted;
third, the state of the driver is not detected, and when the driver is in a fatigue driving state, the safety of the transport vehicle is lowered.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose transportation information storage methods, apparatus, electronic devices, computer readable media and program products to address one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a transportation information storage method, the method comprising: in response to receiving the vehicle transportation information sent by the target transportation terminal, determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal, wherein the vehicle transportation information further includes: the article transport information and the route transport track corresponding to the article transport information; determining a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information; determining a corresponding transportation route in the preset transportation route according to the initial transportation place included in the article transportation information and the vehicle positioning information; in response to determining that the route transportation track is the same as the transportation route, marking the vehicle transportation information according to a supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information; determining whether a storage node corresponding to the supply end identifier exists in the storage node group; and in response to determining that there is a storage node in the storage node group that corresponds to the vehicle identification and the supply end identification, storing the marked vehicle transportation information in the storage node.
In a second aspect, some embodiments of the present disclosure provide a transportation information storage device, the device comprising: a first determining unit configured to determine, in response to receiving vehicle transportation information sent by a target transportation terminal, whether vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to monitored vehicle positioning information corresponding to the target transportation terminal sent by a monitoring terminal, where the vehicle transportation information further includes: the article transport information and the route transport track corresponding to the article transport information; a second determining unit configured to determine a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is identical to the monitoring vehicle positioning information; a third determining unit configured to determine a corresponding one of the preset transportation routes according to an initial transportation location included in the article transportation information and the vehicle positioning information; a marking unit configured to perform marking processing on the vehicle transportation information according to a supply end identifier corresponding to the article transportation information in response to determining that the route transportation track is the same as the transportation route, so as to generate marked vehicle transportation information; a fourth determining unit configured to determine whether or not a storage node corresponding to the vehicle identifier and the supply end identifier exists in the storage node group; and a storage unit configured to store the marked vehicle transportation information in the storage nodes in response to determining that there is a storage node corresponding to the supply end identifier in the storage node group.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
In a fifth aspect, some embodiments of the present disclosure provide a computer program product comprising a computer program which, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the transportation information storage method of some embodiments of the present disclosure, the storage pressure of the database is reduced. Specifically, the storage pressure of the database is large because: when there are more transport vehicles, the amount of data fed back is larger, resulting in a larger storage pressure of the database. Based on this, in some embodiments of the present disclosure, first, in response to receiving vehicle transportation information sent by a target transportation terminal, it is determined whether vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to monitored vehicle positioning information sent by a monitoring terminal and corresponding to the target transportation terminal. Therefore, whether the information sent by the target transportation terminal (transportation vehicle terminal) is false information can be primarily judged, and the database can be prevented from storing the false transportation information. And secondly, determining a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information. And then, determining a corresponding transportation route in the preset transportation route according to the initial transportation place included in the article transportation information and the vehicle positioning information. The authenticity of the transport information transmitted by the transport vehicle can thus be further determined using the actual travel route of the transport vehicle. Then, in response to determining that the route transportation track is the same as the transportation route, the vehicle transportation information is marked according to a supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information. Thus, the transportation information of different supply ends can be marked. Thus, the differential storage can be performed. Then, it is determined whether there is a storage node in the storage node group corresponding to the supply end identifier. And finally, in response to determining that a storage node corresponding to the vehicle identifier and the supply end identifier exists in the storage node group, storing the marked vehicle transportation information into the storage node. Thus, different vehicle transportation information can be stored in different storage nodes. On the one hand, chaotic storage of transportation information is avoided, and on the other hand, the storage pressure of a single storage node is reduced.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of a transportation information storage method according to the present disclosure;
FIG. 2 is a schematic structural view of some embodiments of a transportation information storage device according to the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flow chart of some embodiments of a transportation information storage method according to the present disclosure. A flow 100 of some embodiments of a transportation information storage method according to the present disclosure is shown. The transportation information storage method comprises the following steps:
In some embodiments, an executing body (e.g., a server) of the transportation information storage method may determine, in response to receiving the vehicle transportation information sent by the target transportation terminal, whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal. Wherein, the vehicle transportation information further includes: and the article transportation information and the route transportation track corresponding to the article transportation information. Here, the target transportation terminal may refer to an in-vehicle terminal of a transportation vehicle in a transportation state. The vehicle transportation information may refer to position information of a transportation vehicle and information of transported articles. Here, the article transportation information may refer to information of the transported article. Such as, item shipping information may include, but is not limited to: item name, item quantity, supply end identification, receiving end identification, shipping address, initial shipping location, etc. The initial shipping location may be referred to as the origin. The monitoring terminal may refer to a monitoring camera provided on a road. The route transportation track may refer to a route track that the transportation vehicle corresponding to the target transportation terminal has traveled. The monitoring vehicle positioning information comprises a target vehicle image and the longitude and latitude of a monitoring terminal. Here, the target vehicle image may refer to an image of a transport vehicle corresponding to a target transport terminal photographed by the monitoring terminal. The longitude and latitude of the monitoring terminal may refer to the longitude and latitude of the monitoring terminal. The vehicle positioning information comprises longitude and latitude of the target transportation terminal and a vehicle license plate number. The longitude and latitude of the target transportation terminal may refer to the current longitude and latitude of the transportation vehicle sent by the target transportation terminal. The vehicle license plate number may be a license plate number of a transport vehicle transmitted from the target transport terminal.
It should be noted that, the time of the vehicle transportation information sent by the target transportation terminal and the time of the monitored vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal are less than or equal to the preset duration. For example, the preset time period may be 30 seconds.
In practice, the executing body may determine whether the vehicle positioning information included in the vehicle transportation information is identical to the monitoring vehicle positioning information by:
the first step is to input the target vehicle image into a pre-trained image definition detection model to obtain the image definition corresponding to the target vehicle image. Here, the pre-trained image sharpness detection model may refer to a pre-trained neural network model with the target vehicle image as input and the image sharpness as output. For example, the pre-trained image sharpness detection model may be a CNN (Convolutional Neural Networks) convolutional neural network model.
And secondly, in response to determining that the image definition is greater than or equal to the preset definition, performing frame selection processing on the license plate region displayed in the target vehicle image to generate a frame-selected license plate region image. Here, the frame selection process may be an index annotation process, i.e., marking out a license plate region displayed in the target vehicle image. Here, the setting of the preset definition is not limited.
And thirdly, inputting the frame-selected license plate region image into a pre-trained license plate number recognition model to obtain a recognition license plate number. The pre-trained license plate number recognition model may be a pre-trained neural network model that takes the frame-selected license plate area image as input to recognize the license plate number as input. For example, the pre-trained license plate number recognition model may be a recurrent neural network (Recurrent Neural Network, RNN).
And step four, determining whether the identification license plate number is the same as the vehicle license plate number.
And fifthly, determining whether the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is larger than or equal to a preset distance or not in response to determining that the identification license plate number is the same as the vehicle license plate number. Here, the setting of the preset distance is not limited.
And sixthly, determining that the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is smaller than the preset distance.
The related content in the first step to the sixth step is taken as an invention point of the present disclosure, so that the second technical problem mentioned in the background art is solved, that is, the authenticity of the information sent by the transport vehicle is not verified, so that a lot of false transport information is stored, and the storage resources of the database are wasted. ". Factors that waste storage resources of the database are often as follows: the information sent by the transport vehicle is not subjected to authenticity verification, so that a lot of false transport information is stored, and the storage resources of the database are wasted. If the above factors are solved, the effect of reducing the waste of the storage resources of the database can be achieved. To achieve this, first, the target vehicle image is input into a pre-trained image sharpness detection model, and an image sharpness corresponding to the target vehicle image is obtained. Thus, it is convenient to recognize the license plate number in the target vehicle image later. And secondly, in response to determining that the image definition is greater than or equal to the preset definition, performing frame selection processing on the license plate region displayed in the target vehicle image so as to generate a frame-selected license plate region image. And then, inputting the frame-selected license plate region image into a pre-trained license plate number recognition model to obtain a recognition license plate number. Thus, the license plate number of the transportation vehicle photographed by the monitoring terminal can be recognized. Then, it is determined whether the identified license plate number is the same as the vehicle license plate number. Thereby, the authenticity of the vehicle positioning information transmitted by the transport vehicle can be checked. And then, in response to determining that the identification license plate number is the same as the vehicle license plate number, determining whether the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to a preset distance. Thereby, the authenticity of the vehicle positioning information transmitted by the transport vehicle can be further verified. And finally, in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is smaller than the preset distance, determining that the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information. Thereby, the database can be prevented from storing false transportation information. And the waste of storage resources of the database is reduced.
Optionally, in response to determining that the image sharpness is less than the preset sharpness, marking the target vehicle image as an abnormal target vehicle image, and transmitting the abnormal target vehicle image to the monitoring terminal.
In some embodiments, the execution body may mark the target vehicle image as an abnormal target vehicle image and transmit the abnormal target vehicle image to the monitoring terminal in response to determining that the image sharpness is less than the preset sharpness.
Optionally, in response to determining that the identified license plate number is different from the vehicle license plate number, determining the vehicle positioning information as false vehicle positioning information, and generating a vehicle transportation warning alert tone, the vehicle transportation warning alert tone is transmitted to the target transportation terminal.
In some embodiments, the executing entity may determine the vehicle positioning information as false vehicle positioning information and generate a vehicle transportation warning alert tone in response to determining that the identified license plate number is different from the vehicle license plate number, and transmit the vehicle transportation warning alert tone to the target transportation terminal. Here, the vehicle transportation warning alert tone may be a voice indicating that the transportation vehicle transmits false positioning information.
Optionally, in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to the preset distance, determining the vehicle positioning information as false vehicle positioning information.
In some embodiments, the executing entity may determine the vehicle positioning information as false vehicle positioning information in response to determining that a distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is equal to or greater than the preset distance.
In some embodiments, the executing entity may determine a preset transportation route corresponding to the item transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information. Namely, a preset transportation route corresponding to the article transportation information is read from a local database.
And step 103, determining a corresponding transportation route in the preset transportation route according to the initial transportation location included in the article transportation information and the vehicle positioning information.
In some embodiments, the executing body may determine a corresponding transportation route of the preset transportation routes according to the initial transportation location included in the item transportation information and the vehicle positioning information. Namely, a transportation route between the initial transportation location and the longitude and latitude of the target transportation terminal included in the vehicle positioning information is intercepted from the preset transportation route.
And 104, in response to determining that the route transportation track is the same as the transportation route, marking the vehicle transportation information according to the supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information.
In some embodiments, the executing body may perform marking processing on the vehicle transportation information according to the supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information in response to determining that the route transportation track is the same as the transportation route. In practice, the vehicle transportation information may be marked with a supply end identifier. Here, the supply end identifier may be an identifier of a supply end that supplies the item corresponding to the item transportation information.
In some embodiments, the executing entity may determine whether a storage node corresponding to the provisioning end identifier exists in the storage node group. Here, the storage nodes in the storage node group may be preset storage nodes for storing respective vehicle transportation information corresponding to a certain supply end.
And step 106, in response to determining that a storage node corresponding to the vehicle identifier and the supply end identifier exists in the storage node group, storing the marked vehicle transportation information in the storage node.
In some embodiments, the executing entity may store the tagged vehicle transportation information in the storage node in response to determining that a storage node exists in the storage node group that corresponds to the vehicle identification and the supply end identification.
Optionally, in response to detecting that the transport vehicle corresponding to the target transport terminal is in a driving state, determining a current transport duration of the transport vehicle.
In some embodiments, the executing body may determine a current transportation duration of the transportation vehicle in response to detecting that the transportation vehicle corresponding to the target transportation terminal is in a driving state. Here, the running state may indicate that the transport vehicle is currently running on the road. The current transport duration may refer to a transport duration for which the transport vehicle is sustained.
Optionally, in response to determining that the transportation time period is greater than or equal to a preset time period, generating a driver driving video acquisition instruction, and sending the driver video acquisition instruction to the target transportation terminal.
In some embodiments, the executing body may generate a driver driving video collection instruction in response to determining that the transportation time period is greater than or equal to a preset time period, and send the driver video collection instruction to the target transportation terminal. Here, the driver driving video collection instruction may refer to an instruction to collect a video of the driver's current driving.
Optionally, in response to receiving the driver video corresponding to the driver video acquisition instruction sent by the target transportation terminal within the first preset time period, for each frame of driver image in the driver video, the driver image is input into a pre-trained driver state recognition model to obtain a driver recognition state.
In some embodiments, the executing body may respond to receiving the driver video corresponding to the driver video acquisition instruction sent by the target transportation terminal within the first preset duration, and for each frame of driver image in the driver video, input the driver image into a pre-trained driver state recognition model to obtain a driver recognition state. Here, the setting of the first preset time period is not limited. For example, the first preset time period may be 1 minute. The pre-trained driver state recognition model may be a pre-trained neural network model with driver images as input and driver recognition states as output. For example, the driver state recognition model may refer to a trained convolutional neural network model. The driver identification status may represent a current driving status of the driver. For example, the driver identification status may indicate that the driver is in a state of tired driving.
Optionally, in response to determining that the driver recognition states representing fatigue driving of the driver exist in the obtained driver recognition states, generating a safe driving prompt voice, and sending the safe driving prompt voice to the target transportation terminal for voice playing.
In some embodiments, the executing entity may generate a safe driving prompt voice in response to determining that the driver recognition state representing the fatigue driving of the driver exists in the respective driver recognition states, and send the safe driving prompt voice to the target transportation terminal for voice playing. The safe driving prompt voice may refer to a voice that reminds the driver of serious driving. For example, the content of the safe driving prompt voice may be "please the driver to secure the spirit, the next server to rest, and notice the safety.
Optionally, after the second preset time period, generating a target driver video acquisition instruction, and sending the target driver video acquisition instruction to the target transportation terminal.
In some embodiments, the executing body may generate the target driver video capture instruction after the second preset time period, and send the target driver video capture instruction to the target transportation terminal. Here, the setting of the second preset time period is not limited. The target driver video capture instruction may be an instruction to capture the driver video again after the target transportation terminal plays the safe driving prompt voice.
Optionally, in response to receiving the target driver video corresponding to the target driver video acquisition instruction sent by the target transportation terminal within a third preset duration, for each frame of target driver image in the target driver video, inputting the target driver image into the driver state recognition model, and obtaining a target driver recognition state.
In some embodiments, the executing body may receive, in response to receiving, within a third preset period of time, a target driver video corresponding to the target driver video acquisition instruction sent by the target transportation terminal, and for each frame of target driver image in the target driver video, input the target driver image into the driver state recognition model to obtain a target driver recognition state. Here, the setting of the third preset time period is not limited.
Optionally, in response to determining that the obtained target driver recognition states have the target driver recognition states representing fatigue driving of the driver, the target transportation terminal is controlled to control the transportation vehicle corresponding to the target transportation terminal to perform automatic driving processing.
In some embodiments, the executing body may control the target transportation terminal to control the transportation vehicle corresponding to the target transportation terminal to perform the automatic driving process in response to determining that the target driver recognition state representing the fatigue driving of the driver exists in the obtained respective target driver recognition states.
The above-mentioned related matters are selected as an invention point of the present disclosure, thereby solving the third technical problem mentioned in the background art, that the state of the driver is not detected, and the safety of the transportation vehicle is reduced when the driver is in the fatigue driving state. ". Factors that reduce the safety of a transport vehicle are often as follows: the state of the driver is not detected, and when the driver is in a fatigue driving state, the safety of the transportation vehicle is reduced. If the above factors are solved, the effect of improving the safety of the transport vehicle can be achieved. To achieve this, first, in response to detecting that the transport vehicle corresponding to the target transport terminal is in a traveling state, a current transport duration of the transport vehicle is determined. Thus, the driving state of the driver can be detected when the driver drives for a long time. And secondly, generating a driver driving video acquisition instruction in response to the fact that the transportation time length is greater than or equal to the preset time length, and sending the driver video acquisition instruction to the target transportation terminal. And then, responding to the received driver video which corresponds to the driver video acquisition instruction and is sent by the target transportation terminal in the first preset time, and inputting the driver image into a pre-trained driver state identification model for each frame of driver image in the driver video to obtain a driver identification state. Thus, the current image of the driver can be acquired to detect the current driving state of the driver. And then, in response to the fact that the driver recognition states representing the fatigue driving of the driver exist in the obtained driver recognition states, generating a safe driving prompt voice, and sending the safe driving prompt voice to the target transportation terminal for voice playing. Therefore, when the driver is detected to be in the fatigue driving state, the driver can be reminded of carrying out safe driving. And then, after a second preset time period, generating a target driver video acquisition instruction, and sending the target driver video acquisition instruction to the target transportation terminal. Thus, after the safe driving instruction voice is issued, it is possible to detect whether the driving state of the driver is improved. And then, in response to receiving the target driver video corresponding to the target driver video acquisition instruction sent by the target transportation terminal within a third preset time period, inputting the target driver image into the driver state recognition model for each frame of target driver image in the target driver video to obtain a target driver recognition state. Thus, after the safe driving prompt voice is sent, the image of the driver can be acquired, and the driving state of the driver can be detected. And finally, in response to determining that the target driver identification states representing the fatigue driving of the driver exist in the obtained target driver identification states, controlling the target transportation terminal so as to control the transportation vehicle corresponding to the target transportation terminal to carry out automatic driving processing. Therefore, after the safe driving prompt voice is sent, when the fatigue driving state of the driver is detected again, the target transportation terminal is taken over to control the transportation vehicle to carry out automatic driving processing. Thus, potential safety hazards caused by misoperation of a driver are avoided. Further, the safety of the transport vehicle is improved.
Optionally, in response to detecting that the transport vehicle corresponding to the target transport terminal is in a stopped state, determining a current stopping time of the transport vehicle.
In some embodiments, the executing body may determine a current dead time of the transport vehicle in response to detecting that the transport vehicle corresponding to the target transport terminal is in a dead state. Wherein, the standstill state may indicate that the transport vehicle is not in a driving state, and is stationary. The dead time period refers to a time period during which the transport vehicle has been stopped.
Optionally, in response to determining that the dead time period is greater than or equal to a preset dead time period, determining vehicle congestion information of a road on which the transport vehicle is currently located.
In some embodiments, the executing entity may determine the vehicle congestion information of the road on which the transport vehicle is currently located in response to determining that the dead time period is equal to or greater than a preset dead time period. Here, the setting of the preset dead time period is not limited. Here, the vehicle congestion information may indicate whether the road on which the transport vehicle is currently located is congested. In practice, the executing body may determine the vehicle congestion information of the road on which the transport vehicle is currently located through a satellite.
Optionally, in response to determining that the vehicle congestion information characterizes that the road is not congested, generating a driving prompt voice, and sending the driving prompt voice to the target transportation terminal for voice playing.
In some embodiments, the executing entity may generate a driving hint voice in response to determining that the vehicle congestion information characterizes the road as not congested, and send the driving hint voice to the target transportation terminal for voice playing. The driving prompt voice may be a voice prompting the transport vehicle corresponding to the target transport terminal to travel.
Optionally, in response to determining that the vehicle congestion information characterizes the road congestion, generating an updated transportation route according to the current location information of the transportation vehicle.
In some embodiments, the executing entity may generate the updated transportation route based on the current location information of the transportation vehicle in response to determining that the vehicle congestion information characterizes the road congestion. That is, the executing body may reprogram the transportation route according to the current location information of the transportation vehicle and the receiving address included in the item transportation information, so as to generate an updated transportation route.
Optionally, the updated transportation route is sent to the target transportation terminal.
In some embodiments, the executing entity may send the updated transportation route to the target transportation terminal.
The above embodiments of the present disclosure have the following advantageous effects: by the transportation information storage method of some embodiments of the present disclosure, the storage pressure of the database is reduced. Specifically, the storage pressure of the database is large because: when there are more transport vehicles, the amount of data fed back is larger, resulting in a larger storage pressure of the database. Based on this, in some embodiments of the present disclosure, first, in response to receiving vehicle transportation information sent by a target transportation terminal, it is determined whether vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to monitored vehicle positioning information sent by a monitoring terminal and corresponding to the target transportation terminal. Therefore, whether the information sent by the target transportation terminal (transportation vehicle terminal) is false information can be primarily judged, and the database can be prevented from storing the false transportation information. And secondly, determining a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information. And then, determining a corresponding transportation route in the preset transportation route according to the initial transportation place included in the article transportation information and the vehicle positioning information. The authenticity of the transport information transmitted by the transport vehicle can thus be further determined using the actual travel route of the transport vehicle. Then, in response to determining that the route transportation track is the same as the transportation route, the vehicle transportation information is marked according to a supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information. Thus, the transportation information of different supply ends can be marked. Thus, the differential storage can be performed. Then, it is determined whether there is a storage node in the storage node group corresponding to the supply end identifier. And finally, in response to determining that a storage node corresponding to the vehicle identifier and the supply end identifier exists in the storage node group, storing the marked vehicle transportation information into the storage node. Thus, different vehicle transportation information can be stored in different storage nodes. On the one hand, chaotic storage of transportation information is avoided, and on the other hand, the storage pressure of a single storage node is reduced.
With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides embodiments of a transportation information storage device corresponding to those shown in fig. 1, which may find particular application in a variety of electronic devices.
As shown in fig. 2, the transportation information storage apparatus 200 of some embodiments includes: a first determination unit 201, a second determination unit 202, a third determination unit 203, a marking unit 204, a fourth determination unit 205, and a storage unit 206. Wherein, the first determining unit 201 is configured to determine, in response to receiving the vehicle transportation information sent by the target transportation terminal, whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal, where the vehicle transportation information further includes: the article transport information and the route transport track corresponding to the article transport information; a second determining unit 202 configured to determine a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is identical to the monitored vehicle positioning information; a third determining unit 203 configured to determine a corresponding one of the preset transportation routes according to the initial transportation location included in the item transportation information and the vehicle positioning information; a marking unit 204 configured to perform marking processing on the vehicle transportation information according to a supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information in response to determining that the route transportation trajectory is the same as the transportation route; a fourth determining unit 205 configured to determine whether a storage node corresponding to the above-mentioned supply end identifier exists in the storage node group; a storage unit 206 configured to store the marked vehicle transportation information in the storage nodes in response to determining that there is a storage node in the storage node group that corresponds to the vehicle identification and the supply end identification.
It will be appreciated that the elements described in the shipping information store 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and advantages described above with respect to the method are equally applicable to the transportation information storage device 200 and the units contained therein, and are not described herein.
Referring now to fig. 3, a schematic diagram of an electronic device (e.g., server) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.
It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (Hyper Text Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the vehicle transportation information sent by the target transportation terminal, determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal, wherein the vehicle transportation information further includes: the article transport information and the route transport track corresponding to the article transport information; determining a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information; determining a corresponding transportation route in the preset transportation route according to the initial transportation place included in the article transportation information and the vehicle positioning information; in response to determining that the route transportation track is the same as the transportation route, marking the vehicle transportation information according to a supply end identifier corresponding to the article transportation information to generate marked vehicle transportation information; determining whether a storage node corresponding to the supply end identifier exists in the storage node group; and in response to determining that there is a storage node in the storage node group that corresponds to the vehicle identification and the supply end identification, storing the marked vehicle transportation information in the storage node.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a first determination unit, a second determination unit, a third determination unit, a marking unit, a fourth determination unit, and a storage unit. The names of these units do not constitute a limitation of the unit itself in some cases, and for example, the second determining unit may also be described as "a unit that determines a preset transportation route corresponding to the item transportation information in response to determining that the vehicle positioning information coincides with the monitored vehicle positioning information".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
Some embodiments of the present disclosure also provide a computer program product comprising a computer program which, when executed by a processor, implements any of the above-described transportation information storage methods.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (6)
1. A transportation information storage method, comprising:
in response to receiving vehicle transportation information sent by a target transportation terminal, determining whether vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to monitored vehicle positioning information corresponding to the target transportation terminal sent by a monitoring terminal, wherein the vehicle transportation information further comprises: the system comprises article transportation information and a route transportation track corresponding to the article transportation information, wherein the monitoring vehicle positioning information comprises a target vehicle image and a monitoring terminal longitude and latitude, and the vehicle positioning information comprises the target transportation terminal longitude and latitude and a vehicle license plate number;
Determining a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information;
determining a corresponding transportation route in the preset transportation route according to the initial transportation place included in the article transportation information and the vehicle positioning information;
in response to determining that the route transportation track is the same as the transportation route, marking the vehicle transportation information according to a supply end identifier corresponding to the article transportation information so as to generate marked vehicle transportation information;
determining whether a storage node corresponding to the supply end identifier exists in a storage node group;
in response to determining that a storage node exists in the storage node group that corresponds to a vehicle identification and the supply end identification, storing the marked vehicle transportation information into the storage node;
the method for determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal and sent by the monitoring terminal comprises the following steps:
inputting the target vehicle image into a pre-trained image definition detection model to obtain the image definition corresponding to the target vehicle image;
In response to determining that the image definition is greater than or equal to a preset definition, performing frame selection processing on a license plate region displayed in the target vehicle image to generate a frame-selected license plate region image;
inputting the frame-selected license plate region image into a pre-trained license plate number recognition model to obtain a recognition license plate number;
determining whether the identified license plate number is the same as the vehicle license plate number;
in response to determining that the identification license plate number is the same as the vehicle license plate number, determining whether the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to a preset distance;
determining that the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is smaller than the preset distance;
in response to determining that the image sharpness is less than the preset sharpness, marking the target vehicle image as an abnormal target vehicle image, and transmitting the abnormal target vehicle image to the monitoring terminal;
in response to determining that the identified license plate number is different from the vehicle license plate number, determining the vehicle positioning information as false vehicle positioning information, and generating a vehicle transportation warning alert tone, transmitting the vehicle transportation warning alert tone to the target transportation terminal;
And determining the vehicle positioning information as false vehicle positioning information in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to the preset distance.
2. The method of claim 1, wherein the method further comprises:
in response to detecting that a transport vehicle corresponding to the target transport terminal is in a stagnation state, determining the current stagnation time of the transport vehicle;
determining vehicle congestion information of a road where the transport vehicle is currently located in response to determining that the stagnation time length is greater than or equal to a preset stagnation time length;
and generating driving prompt voice in response to determining that the vehicle congestion information indicates that the road is not congested, and sending the driving prompt voice to the target transportation terminal for voice playing.
3. The method of claim 2, wherein the method further comprises:
generating an updated transportation route according to current location information of the transportation vehicle in response to determining that the vehicle congestion information characterizes the road congestion;
and sending the updated transportation route to the target transportation terminal.
4. A transportation information storage device comprising:
A first determining unit configured to determine, in response to receiving vehicle transportation information sent by a target transportation terminal, whether vehicle positioning information included in the vehicle transportation information is consistent with monitored vehicle positioning information according to monitored vehicle positioning information corresponding to the target transportation terminal sent by a monitoring terminal, wherein the vehicle transportation information further includes: the system comprises article transportation information and a route transportation track corresponding to the article transportation information, wherein the monitoring vehicle positioning information comprises a target vehicle image and a monitoring terminal longitude and latitude, and the vehicle positioning information comprises the target transportation terminal longitude and latitude and a vehicle license plate number; the method for determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitored vehicle positioning information according to the monitored vehicle positioning information corresponding to the target transportation terminal and sent by the monitoring terminal comprises the following steps:
inputting the target vehicle image into a pre-trained image definition detection model to obtain the image definition corresponding to the target vehicle image;
in response to determining that the image definition is greater than or equal to a preset definition, performing frame selection processing on a license plate region displayed in the target vehicle image to generate a frame-selected license plate region image;
Inputting the frame-selected license plate region image into a pre-trained license plate number recognition model to obtain a recognition license plate number;
determining whether the identified license plate number is the same as the vehicle license plate number;
in response to determining that the identification license plate number is the same as the vehicle license plate number, determining whether the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to a preset distance;
determining that the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is smaller than the preset distance;
in response to determining that the image sharpness is less than the preset sharpness, marking the target vehicle image as an abnormal target vehicle image, and transmitting the abnormal target vehicle image to the monitoring terminal;
in response to determining that the identified license plate number is different from the vehicle license plate number, determining the vehicle positioning information as false vehicle positioning information, and generating a vehicle transportation warning alert tone, transmitting the vehicle transportation warning alert tone to the target transportation terminal;
Determining the vehicle positioning information as false vehicle positioning information in response to determining that the distance between the longitude and latitude of the monitoring terminal and the longitude and latitude of the target transportation terminal is greater than or equal to the preset distance;
a second determining unit configured to determine a preset transportation route corresponding to the article transportation information in response to determining that the vehicle positioning information is consistent with the monitored vehicle positioning information;
a third determining unit configured to determine a corresponding one of the preset transportation routes according to an initial transportation place included in the article transportation information and the vehicle positioning information;
the marking unit is configured to perform marking processing on the vehicle transportation information according to the supply end identifier corresponding to the article transportation information in response to determining that the route transportation track is the same as the transportation route so as to generate marked vehicle transportation information;
a fourth determining unit configured to determine whether a storage node corresponding to the supply end identifier exists in a storage node group;
and a storage unit configured to store the marked vehicle transportation information into the storage node in response to determining that there is a storage node in the storage node group that corresponds to the vehicle identification and the supply end identification.
5. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-3.
6. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-3.
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| CN111025297A (en) * | 2019-12-24 | 2020-04-17 | 京东数字科技控股有限公司 | Vehicle monitoring method and device, electronic equipment and storage medium |
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