CN115577145A - Transportation information storage method, transportation information storage apparatus, electronic device, transportation information storage medium, and program product - Google Patents
Transportation information storage method, transportation information storage apparatus, electronic device, transportation information storage medium, and program product Download PDFInfo
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- CN115577145A CN115577145A CN202211317788.XA CN202211317788A CN115577145A CN 115577145 A CN115577145 A CN 115577145A CN 202211317788 A CN202211317788 A CN 202211317788A CN 115577145 A CN115577145 A CN 115577145A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/907—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/909—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0835—Relationships between shipper or supplier and carriers
- G06Q10/08355—Routing methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
Abstract
Embodiments of the present disclosure disclose a transportation information storage method, apparatus, electronic device, medium, and program product. One embodiment of the method comprises: 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 the preset transportation routes according to the initial transportation location and vehicle positioning information included in the article transportation information; in response to determining that the route transportation trajectory is the same as the transportation route, performing tagging processing on the vehicle transportation information to generate tagged vehicle transportation information; determining whether a storage node corresponding to a supplier identifier exists in a storage node group; in response to determining that a storage node corresponding to the vehicle identification and the supplier identification exists in the storage node group, storing the tagged vehicle transportation information into the storage node. This embodiment avoids chaotic storage of the transport 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 technologies, 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 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 at intervals.
However, the following technical problems generally exist in the above manner:
firstly, when the number of transport vehicles is large, the amount of fed back data is large, so that the storage pressure of a database is large;
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 transportation vehicle is reduced.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art in this country.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary 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, apparatuses, 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, including: in response to receiving vehicle transportation information sent by a target transportation terminal, determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal sent by a monitoring terminal, wherein the vehicle transportation information further comprises: article transportation information and a route transportation track 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 preset transportation route corresponding to the article transportation information; determining a corresponding transportation route in the preset transportation routes according to the initial transportation location 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 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 supplier identifier exists in a storage node group; and storing the marked vehicle transportation information into the storage node in response to determining that the storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group.
In a second aspect, some embodiments of the present disclosure provide a transportation information storage apparatus, the apparatus comprising: the first determining unit is configured to respond to the received vehicle transportation information sent by a target transportation terminal, and determine whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information which is sent by a monitoring terminal and corresponds to the target transportation terminal, wherein the vehicle transportation information further comprises: article transportation information and a route transportation track corresponding to the article transportation 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 location information is consistent with the monitored vehicle location information; a third determining unit configured to determine a corresponding transportation route in the preset transportation routes according to an initial transportation location included in the item transportation information and the vehicle positioning information; a marking unit configured to mark 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 determination unit configured to determine whether or not a storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group; a storage unit configured to store the tag vehicle transportation information into the storage node in response to determining that a storage node corresponding to the supplier identification exists 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, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
In a fifth aspect, some embodiments of the present disclosure provide a computer program product comprising a computer program that, 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 advantages: 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 the number of transport vehicles is large, the amount of fed back data is large, and the storage pressure of the database is large. Based on this, in the transportation information storage method according to some embodiments of the present disclosure, first, in response to receiving the vehicle transportation information sent by the target transportation terminal, it is determined whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal. Therefore, whether the information sent by the target transportation terminal (transportation vehicle terminal) is false information or not can be preliminarily judged, and the situation that the false transportation information is stored in the database can be avoided. And secondly, in response to the fact that the vehicle positioning information is consistent with the monitoring vehicle positioning information, determining a preset transportation route corresponding to the article transportation information. And then, determining a corresponding transportation route in the preset transportation routes according to the initial transportation site and the vehicle positioning information included in the article transportation 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. And then, in response to the fact that the route transportation track is determined to be the same as the transportation route, marking the vehicle transportation information according to the supply end identification corresponding to the article transportation information to generate marked vehicle transportation information. Thus, the transportation information of different supply terminals can be marked. Thus, a differentiated storage can be made. And then, determining whether a storage node corresponding to the supplier identifier exists in the storage node group. And finally, in response to determining that a storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group, storing the marked vehicle transportation information into the storage node. Thereby, different vehicle transportation information may be stored in different storage nodes. On one hand, the chaotic storage of the 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 various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a flow diagram of some embodiments of a transportation information storage method according to the present disclosure;
FIG. 2 is a schematic structural diagram of some embodiments of a transportation information storage device according to the present disclosure;
FIG. 3 is a schematic block 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 is to be understood that the 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 disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a" or "an" in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will appreciate that references to "one or more" are intended to be exemplary and not limiting unless the context clearly indicates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the 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 diagram 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 entity (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 monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal. Wherein, above-mentioned vehicle transportation information still includes: article transportation information, a route transportation trajectory corresponding to the article transportation information. Here, the target transportation terminal may refer to a vehicle-mounted terminal of the transportation vehicle in the transportation state. The vehicle transportation information may refer to location information of the transportation vehicle and information of the transported item. Here, the article transport information may refer to information of an article transported. For example, item transportation 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 the origin. The monitoring terminal may refer to a monitoring camera disposed on a road. The route transportation track may refer to a route track that a 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 the monitoring terminal. Here, the target vehicle image may refer to an image of a transportation vehicle corresponding to the target transportation 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 latitude and longitude of the target transportation terminal may refer to the current latitude and longitude of a transportation vehicle sent by the target transportation terminal. The vehicle license plate number may be the license plate number of the transportation vehicle sent by the target transportation terminal.
It should be noted that the time of the vehicle transportation information sent by the target transportation terminal and the time of the monitoring vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal are less than or equal to a preset time length. 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 consistent with the monitoring vehicle positioning information by:
firstly, inputting 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 image sharpness detection model trained in advance may refer to a neural network model trained in advance with the target vehicle image as an input and the image sharpness as an output. For example, the pre-trained image sharpness detection model may be a CNN (conditional Neural Networks) Convolutional Neural network model.
And secondly, performing framing processing on the license plate area displayed in the target vehicle image in response to the fact that the image definition is larger than or equal to the preset definition so as to generate a framed license plate area image. Here, the framing processing may refer to labeling processing, that is, labeling a license plate region displayed in the target vehicle image. Here, the setting of the preset definition is not limited.
And thirdly, inputting the framed license plate area image into a pre-trained license plate number recognition model to obtain a recognized license plate number. The pre-trained license plate number recognition model can be a pre-trained neural network model which takes the image of the framed license plate area as input and takes the recognized license plate number as input. For example, the pre-trained license plate number recognition model may be a Recurrent Neural Network (RNN).
And fourthly, determining whether the identification license plate number is the same as the license plate number of the vehicle.
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 in response to the fact that the identification license plate number is the same as the license plate number of the vehicle. Here, the setting of the preset distance is not limited.
And sixthly, in response to the fact 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.
The related content in the first step to the sixth step is taken as an invention point of the present disclosure, thereby solving the technical problem mentioned in the background art that "the authenticity verification is not performed on the information sent by the transport vehicle, so that many false transport information are stored, and the storage resource of the database is wasted. ". The factors that waste the storage resources of the database are often as follows: the authenticity verification is not carried out on the information sent by the transport vehicle, so that a lot of false transport information is stored, and the storage resource of the database is 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 effect, the target vehicle image is first input to a pre-trained image sharpness detection model, and an image sharpness corresponding to the target vehicle image is obtained. Therefore, the license plate number in the target vehicle image can be conveniently identified subsequently. And secondly, performing framing processing on the license plate area displayed in the target vehicle image in response to the fact that the image definition is larger than or equal to the preset definition so as to generate a framed license plate area image. And then, inputting the framed license plate area image into a pre-trained license plate number recognition model to obtain a recognized license plate number. Therefore, the license plate number of the transport vehicle shot by the monitoring terminal can be identified. Then, it is determined whether the identification number plate is the same as the vehicle number plate. Thereby, the authenticity of the vehicle positioning information transmitted by the transport vehicle can be verified. And then, in response to the fact 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 larger than or equal to a preset distance. Thereby, the authenticity of the vehicle positioning information transmitted by the transportation vehicle can be further verified. And finally, in response to the fact 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. The waste of storage resources of the database is reduced.
Optionally, in response to determining that the image definition is smaller than the preset definition, the target vehicle image is marked as an abnormal target vehicle image, and the abnormal target vehicle image is sent to the monitoring terminal.
In some embodiments, the execution subject may mark the target vehicle image as an abnormal target vehicle image and send the abnormal target vehicle image to the monitoring terminal in response to determining that the image definition is less than the preset definition.
Optionally, in response to determining that the identification license plate number is different from the vehicle license plate number, determining the vehicle positioning information as false vehicle positioning information, generating a vehicle transportation warning prompt tone, and sending the vehicle transportation warning prompt tone to the target transportation terminal.
In some embodiments, the execution body may determine the vehicle location information as false vehicle location information in response to determining that the identification number is different from the vehicle number, and generate a vehicle transportation warning tone, and transmit the vehicle transportation warning tone to the destination transportation terminal. Here, the vehicle transportation warning alert tone may be a voice indicating that the transportation vehicle transmits false location 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 execution subject 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 greater than or equal to the preset distance.
And 102, responding to the fact that the vehicle positioning information is consistent with the monitoring vehicle positioning information, and determining a preset transportation route corresponding to the article transportation information.
In some embodiments, the execution subject may determine a preset transportation route corresponding to the article transportation information in response to determining that the vehicle location information is consistent with the monitored vehicle location information. Namely, a preset transportation route corresponding to the article transportation information is read from a local database.
In some embodiments, the execution subject may determine a corresponding transportation route in the preset transportation routes according to an initial transportation location included in the article transportation information and the vehicle positioning information. Namely, the 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 the fact that the route transportation track is the same as the transportation route, marking the vehicle transportation information according to the supply end identification corresponding to the article transportation information to generate marked vehicle transportation information.
In some embodiments, the execution body may perform a labeling process on the vehicle transportation information according to a supplier identifier corresponding to the article transportation information in response to determining that the route transportation trajectory is the same as the transportation route, so as to generate labeled vehicle transportation information. In practice, the vehicle transportation information may be marked with a supply end identification. Here, the supply-end identification may be an identification of a supply end that supplies an item corresponding to the item transportation information.
And 105, determining whether a storage node corresponding to the supplier identifier exists in the storage node group.
In some embodiments, the executing entity may determine whether a storage node corresponding to the supplier identifier exists in the storage node group. Here, the storage nodes in the storage node group may be preset storage nodes for storing transportation information of each vehicle corresponding to a certain supply end.
And 106, in response to determining that the 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.
In some embodiments, the execution subject may store the marked vehicle transportation information in the storage node in response to determining that the storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group.
Optionally, in response to detecting that the transportation vehicle corresponding to the target transportation terminal is in a running state, determining a current transportation duration of the transportation vehicle.
In some embodiments, the executing agent may determine the 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 transportation vehicle is currently running on the road. The current transit time period may refer to the duration of transit time that the transit vehicle is in transit.
Optionally, in response to determining that the transportation time length is greater than or equal to a preset time length, generating a driver driving video acquisition instruction, and sending the driver video acquisition instruction to the target transportation terminal.
In some embodiments, the execution subject may generate a driver driving video capture instruction in response to determining that the transportation duration is greater than or equal to a preset duration, and send the driver video capture instruction to the target transportation terminal. Here, the driver driving video capture instruction may refer to an instruction to capture a video of the driver's current driving.
Optionally, in response to receiving a driver video corresponding to the driver video capture instruction sent by the target transportation terminal within a first preset time period, for each frame of driver image in the driver video, inputting the driver image into a driver state recognition model trained in advance to obtain a driver recognition state.
In some embodiments, the execution subject may input, for each frame of driver image in the driver video, the driver image into a pre-trained driver state recognition model to obtain a driver recognition state in response to receiving, within a first preset time period, a driver video corresponding to the driver video capture instruction sent by the target transportation terminal. 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 having a driver image as an input and a driver recognition state as an output. For example, the driver state recognition model may refer to a trained convolutional neural network model. The driver recognition state may indicate a current driving state of the driver. For example, the driver identification state may indicate that the driver is in a fatigue driving state.
Optionally, in response to determining that a driver recognition state representing fatigue driving of the driver exists 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 execution subject may generate a safe driving prompt voice in response to determining that there is a driver recognition state representing driver fatigue driving among the obtained driver recognition states, and send the safe driving prompt voice to the target transportation terminal for voice playing. The safe driving prompting voice may be a voice that reminds the driver of careful driving. For example, the content of the safe driving prompt voice may be "please the driver to keep the spirit, the next server to rest and pay attention to the safety".
Optionally, after a second preset time, generating a target driver video capture instruction, and sending the target driver video capture instruction to the target transportation terminal.
In some embodiments, the execution subject may generate a target driver video capture instruction after a 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 acquisition instruction may be an instruction to acquire the driver video again after the target transportation terminal plays the safe driving prompt voice.
Optionally, in response to receiving a target driver video corresponding to the target driver video capture instruction sent by the target transportation terminal within a third preset time period, for each frame of target driver image in the target driver video, inputting the target driver image into the driver state identification model to obtain a target driver identification state.
In some embodiments, the executing body may, in response to receiving a target driver video corresponding to the target driver video capture instruction sent by the target transportation terminal within a third preset time period, for each frame of a target driver image in the target driver video, input the target driver image into the driver state identification model to obtain a target driver identification state. Here, the setting of the third preset time period is not limited.
Optionally, in response to determining that a target driver recognition state representing fatigue driving of the driver exists in the obtained target driver recognition states, controlling the target transportation terminal 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 a transportation vehicle corresponding to the target transportation terminal to perform an automatic driving process in response to determining that a target driver recognition state indicating driver fatigue driving exists in the obtained target driver recognition states.
The related matters in the above alternative are one inventive point of the present disclosure, thereby solving the technical problems mentioned in the background art, i.e., "the driver's state is not detected, and when the driver is in a fatigue driving state, the safety of the transportation vehicle is reduced. ". Factors that reduce the safety of a transport vehicle tend to be 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-mentioned factors are solved, the effect of improving the safety of the transport vehicle can be achieved. To achieve this effect, first, in response to detecting that the transportation vehicle corresponding to the target transportation terminal is in a driving state, a current transportation duration of the transportation 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 larger than or equal to the preset time length, and sending the driver video acquisition instruction to the target transportation terminal. And then, in response to receiving a driver video which is sent by the target transportation terminal and corresponds to the driver video acquisition instruction within a first preset time period, inputting each frame of driver image in the driver video into a driver state recognition model trained in advance to obtain a driver recognition state. Therefore, the current image of the driver can be collected to detect the current driving state of the driver. And then, in response to the fact that the driver recognition state representing the fatigue driving of the driver exists 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 a fatigue driving state, the driver can be reminded to carry out safe driving. And then, after a second preset time, 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 prompt voice is emitted, whether the driving state of the driver is improved or not can be detected. And then, in response to receiving a target driver video corresponding to the target driver video acquisition instruction sent by the target transportation terminal within a third preset time period, inputting each frame of target driver image in the target driver video into the driver state recognition model to obtain a target driver recognition state. Therefore, after the safe driving prompting voice is sent out, the image of the driver can be collected, and the driving state of the driver can be detected. And finally, in response to the fact that the target driver identification state representing fatigue driving of the driver exists 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 out, 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. Therefore, potential safety hazards caused by misoperation of a driver are avoided. Furthermore, the safety of the transport vehicle is improved.
Optionally, in response to detecting that the transportation vehicle corresponding to the target transportation terminal is in a stagnation state, determining a current stagnation duration of the transportation vehicle.
In some embodiments, the execution subject may determine a current stagnation period of the transportation vehicle in response to detecting that the transportation vehicle corresponding to the target transportation terminal is in a stagnation state. The stagnation state may indicate that the transportation vehicle is not in a driving state and stops. The length of the stagnation refers to the length of time that the transport vehicle has been at rest.
Optionally, in response to determining that the stagnation time period is greater than or equal to a preset stagnation time period, determining vehicle congestion information of a road where the transportation vehicle is currently located.
In some embodiments, the executing entity may determine the vehicle congestion information of the road on which the transportation vehicle is currently located in response to determining that the stagnation duration is greater than or equal to a preset stagnation duration. 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 transportation vehicle is currently located is congested. In practice, the executing body may determine the vehicle congestion information of the road where the transportation vehicle is currently located through a satellite.
Optionally, in response to determining that the vehicle congestion information represents 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 body may generate a driving prompting voice in response to determining that the vehicle congestion information indicates that the road is not congested, and send the driving prompting voice to the target transportation terminal for voice playing. The driving prompt voice may be a voice prompting the transportation vehicle corresponding to the target transportation terminal to travel.
Optionally, in response to determining that the vehicle congestion information is indicative of the road congestion, an updated transportation route is generated based on current location information of the transportation vehicle.
In some embodiments, the executing agent may generate an updated delivery route based on current location information of the delivery vehicle in response to determining that the vehicle congestion information is indicative of the road congestion. That is, the executing agent may re-plan 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 execution body may send the updated transportation route to the target transportation terminal.
The above embodiments of the present disclosure have the following advantages: 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 the number of transport vehicles is large, the amount of fed back data is large, and the storage pressure of the database is large. Based on this, in the transportation information storage method according to some embodiments of the present disclosure, first, in response to receiving the vehicle transportation information sent by the target transportation terminal, it is determined whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal sent by the monitoring terminal. Therefore, whether the information sent by the target transportation terminal (transportation vehicle terminal) is false information or not can be preliminarily judged, and the situation that the false transportation information is stored in the database can be avoided. And secondly, in response to the fact that the vehicle positioning information is consistent with the monitoring vehicle positioning information, determining a preset transportation route corresponding to the article transportation information. And then, determining a corresponding transportation route in the preset transportation routes according to the initial transportation site and the vehicle positioning information included in the article transportation 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. And then, in response to the fact that the route transportation track is determined to be the same as the transportation route, marking the vehicle transportation information according to the supply end identification corresponding to the article transportation information to generate marked vehicle transportation information. Thus, the transportation information of different supply terminals can be marked. Thus, a differentiated storage can be made. And then, determining whether a storage node corresponding to the supplier identifier exists in the storage node group. And finally, in response to determining that the storage node corresponding to the vehicle identifier and the supply terminal identifier exists in the storage node group, storing the marked vehicle transportation information into the storage node. Thereby, different vehicle transportation information may be stored in different storage nodes. On one hand, the chaotic storage of the 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 methods illustrated in the above figures, the present disclosure provides some embodiments of a transportation information storage device, which correspond to those illustrated in fig. 1, and which may be particularly applicable in various electronic devices.
As shown in fig. 2, the transportation information storage device 200 of some embodiments includes: a first determining unit 201, a second determining unit 202, a third determining unit 203, a marking unit 204, a fourth determining unit 205, and a storage unit 206. The first determining unit 201 is configured to, in response to receiving vehicle transportation information sent by a target transportation terminal, determine whether vehicle positioning information included in the vehicle transportation information is consistent with monitoring vehicle positioning information sent by a monitoring terminal, where the vehicle transportation information further includes: article transportation information and a route transportation track corresponding to the article transportation 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 location information is consistent with the monitored vehicle location information; a third determining unit 203 configured to determine a corresponding transportation route in the preset transportation routes according to the initial transportation location and the vehicle positioning information included in the article transportation information; a marking unit 204 configured to perform marking processing on the vehicle transportation information according to a supplier 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; a fourth determining unit 205 configured to determine whether a storage node corresponding to the supplier identifier exists in the storage node group; a storage unit 206 configured to store the tagged vehicle transportation information into the storage node in response to determining that a storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group.
It is understood that the units described in the transportation information storage device 200 correspond to the respective steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits 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 in detail herein.
Referring now to FIG. 3, a block diagram of an electronic device (e.g., server) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device in some embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the 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 appropriate 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 necessary 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.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, 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 devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams 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 illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
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. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 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, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may 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, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (Hyper Text Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications 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 network.
The computer readable medium may be embodied in the electronic device; or may be separate and not 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 vehicle transportation information sent by a target transportation terminal, determining whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal sent by a monitoring terminal, wherein the vehicle transportation information further comprises: article transportation information and a route transportation track 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 preset transportation route corresponding to the goods transportation information; determining a corresponding transportation route in the preset transportation routes according to the initial transportation location 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 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 supplier identifier exists in a storage node group; and storing the marked vehicle transportation information into the storage node in response to determining that the storage node corresponding to the vehicle identifier and the supplier identifier exists in the storage node group.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart 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 software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a first determining unit, a second determining unit, a third determining unit, a marking unit, a fourth determining unit, and a storage unit. Where the names of these units do not constitute a limitation on the unit itself in some cases, for example, the second determination unit may also be described as "a unit that determines a preset transportation route corresponding to the above item transportation information in response to determining that the above vehicle location information coincides with the above monitoring vehicle location information".
The functions described herein above 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: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), complex Programmable Logic Devices (CPLDs), 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 transportation information storage methods described above.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology 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-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (7)
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 monitoring vehicle positioning information according to the monitoring vehicle positioning information corresponding to the target transportation terminal and sent by a monitoring terminal, wherein the vehicle transportation information further comprises: article transportation information and a route transportation track 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 preset transportation route corresponding to the goods transportation information;
determining a corresponding transportation route in the preset transportation routes according to the initial transportation location 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, performing 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;
determining whether a storage node corresponding to the supplier identifier exists in a storage node group;
in response to determining that a storage node corresponding to the vehicle identification and the supplier identification exists in the storage node group, storing the tagged vehicle transport information into the storage node.
2. The method of claim 1, wherein the method further comprises:
in response to the fact that the transportation vehicle corresponding to the target transportation terminal is in a stagnation state, determining the current stagnation duration of the transportation vehicle;
in response to determining that the stagnation time length is greater than or equal to a preset stagnation time length, determining vehicle congestion information of a road where the transport vehicle is located;
and in response to the fact that the vehicle congestion information represents that the road is not congested, generating a driving prompting voice, and sending the driving prompting voice to the target transportation terminal for voice playing.
3. The method of claim 2, wherein the method further comprises:
in response to determining that the vehicle congestion information characterizes the road congestion, generating an updated haul route based on current location information of the haul vehicle;
and sending the updated transportation route to the target transportation terminal.
4. A transportation information storage device comprising:
the first determining unit is configured to respond to the received vehicle transportation information sent by a target transportation terminal, and determine whether the vehicle positioning information included in the vehicle transportation information is consistent with the monitoring vehicle positioning information according to the monitoring vehicle positioning information sent by a monitoring terminal and corresponding to the target transportation terminal, wherein the vehicle transportation information further comprises: article transportation information and a route transportation track corresponding to the article transportation information;
a second determination unit configured to determine a preset transportation route corresponding to the item transportation information in response to determining that the vehicle location information is consistent with the monitored vehicle location information;
a third determining unit configured to determine a corresponding transportation route in the preset transportation routes according to the initial transportation location and the vehicle positioning information included in the item transportation information;
a marking unit configured to mark the vehicle transportation information according to a supply end identifier corresponding to the goods 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 determination unit configured to determine whether a storage node corresponding to the supplier identifier exists in the storage node group;
a storage unit configured to store the tagged vehicle transportation information into the storage node in response to determining that a storage node corresponding to the vehicle identification and the supplier identification exists in the storage node group.
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, cause the one or more processors to implement the method of any one of claims 1-3.
6. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-3.
7. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-3.
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