CN111160829A - Goods transportation system and goods transportation method based on Internet of vehicles - Google Patents
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Abstract
The invention relates to a goods transportation system and a goods transportation method based on Internet of vehicles, wherein the method comprises the following steps: detecting identification information of the goods; when the identification information of the goods is detected, acquiring the position information of a vehicle; detecting whether the position information of the vehicle is matched with preset position information or not, and when the position information of the vehicle is not matched with the preset position information, shooting through a camera module to obtain an in-out garage image; and sending the in-out warehouse image to a remote server. The identification information of the goods is detected through radio frequency identification to judge whether the goods are delivered out of the warehouse or put in the warehouse, after the identification information of the goods is detected, whether the position of a vehicle is on a preset position is detected, whether the vehicle is on a driving path is further judged, when the vehicle drives on the driving path, an image is obtained through shooting of a camera module and is sent to a remote server, and therefore the remote server can record the delivery out of the warehouse of the goods, and abnormal delivery of the goods is found in time.
Description
Technical Field
The invention relates to a vehicle networking system, in particular to a goods transportation system and a goods transportation method based on the vehicle networking system.
Background
With the continuous development of the economy of China, the logistics industry is rapidly developed. The developed logistics enable people to quickly receive goods after shopping online. Transportation of goods relies on vehicles such as vehicles. However, the quantity of the goods is huge, so that the goods are easily lost in the transportation process, the loss may be accidental loss or caused by artificial theft, how to monitor the goods in the transportation process is how to avoid the loss of the goods, and the safe delivery of the goods is guaranteed, which is a problem to be solved urgently at present.
Disclosure of Invention
Based on this, it is necessary to provide a goods transportation system and a goods transportation method based on the internet of vehicles.
A goods transportation method based on Internet of vehicles comprises the following steps:
detecting identification information of the goods;
when the identification information of the goods is detected, acquiring the position information of a vehicle;
detecting whether the position information of the vehicle is matched with preset position information;
when the position information of the vehicle is not matched with the preset position information, shooting through a camera module to obtain an in-out garage image;
and sending the in-out warehouse image to a remote server.
In one embodiment, the step of capturing the obtained warehousing image through the camera module when the identification information of the goods is detected comprises:
and when the identification information of the goods is detected, detecting whether the identification information is stored in a warehousing list, and when the identification information is stored in the warehousing list, deleting the identification information from the warehousing list, and obtaining a warehousing image by shooting through a camera module.
In one embodiment, the step of obtaining an in-out warehouse image by shooting through a camera module when the identification information of the goods is detected further comprises:
and when the identification information is not stored in the warehousing list, recording the identification information into the warehousing list, and obtaining a warehousing image by shooting through a camera module.
In one embodiment, the method further comprises the steps of:
receiving a shooting mode selection instruction;
and determining the shooting working mode of the camera module according to the shooting mode selection instruction.
In one embodiment, the photographing operation mode includes:
an automatic cycle rotation shooting mode, a fixed point shooting mode and a manual control shooting mode.
A network of vehicles based cargo transportation system comprising: the device comprises a communication module, a camera module, a radio frequency identification module, a positioning module and a processing module; the communication module, the camera module and the radio frequency identification module are all electrically connected with the processing module;
the communication module is used for being in communication connection with a remote server;
the radio frequency identification module is used for reading the identification information of the goods;
the positioning module is used for acquiring the position information of the vehicle;
the camera module is used for shooting the goods in and out of the warehouse;
the processing module is used for acquiring the position information of the vehicle through the positioning module when the radio frequency identification module reads identification information, detecting whether the position information of the vehicle is matched with preset position information or not, controlling the camera module to shoot to acquire the warehouse-in and warehouse-out image when the position information of the vehicle is not matched with the preset position information, and sending the warehouse-in and warehouse-out image to the remote server through the communication module.
In one embodiment, the processing module is further configured to detect whether the identification information is stored in a warehousing list when the radio frequency identification module reads the identification information, delete the identification information from the warehousing list when the identification information is stored in the warehousing list, and capture and obtain a warehousing image through the camera module.
In one embodiment, the processing module is further configured to record the identification information into the warehousing list when the identification information is not stored in the warehousing list, and obtain a warehousing image by shooting through a camera module.
In one embodiment, the processing module is further configured to control the image capturing module to switch to a shooting working mode corresponding to the shooting mode selection instruction according to the shooting mode selection instruction after receiving the shooting mode selection instruction
In one embodiment, the shooting operation modes of the camera module include an automatic cycle rotation shooting mode, a fixed point shooting mode and a manual control shooting mode.
According to the goods transportation system and the goods transportation method based on the Internet of vehicles, the identification information of goods is detected through radio frequency identification to judge whether the goods are delivered from a warehouse or put in the warehouse, after the identification information of the goods is detected, whether the position of a vehicle is on a preset position is detected, whether the vehicle is on a driving route is further judged, when the vehicle drives on the driving route, an image is obtained through shooting of a camera module and is sent to a remote server, and the remote server can record the delivery condition of the goods and timely find abnormal delivery of the goods.
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FIG. 1 is a schematic flow chart diagram of a method for Internet of vehicles based transportation of goods according to one embodiment;
fig. 2 is a schematic system structure diagram of the cargo transportation system based on the internet of vehicles according to one embodiment.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different 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.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
As shown in fig. 1, a cargo transportation method based on internet of vehicles according to an embodiment includes:
In this embodiment, the identification information of the goods is detected by the radio frequency identification module, and in one embodiment, the electronic tag is detected by the radio frequency identification module to read the identification information of the goods. Specifically, the identification information of the goods is detected through the radio frequency identification module, the goods carry electronic tags, and the information carried by the electronic tags is the identification information of the goods. When the goods approach the radio frequency identification module and are within the radio frequency identification range, the electronic tags of the goods are detected by the radio frequency identification module, and the identification information is read. In this embodiment, each cargo has unique identification information, that is, the identification information is different for different cargoes. In this embodiment, the implementation scenario is a warehouse of a cargo transportation vehicle, the range of radio frequency identification is loading and unloading ports of the warehouse, the cargo enters the warehouse and enters the warehouse, and the cargo leaves the warehouse and exits the warehouse, so that the detection of the cargo entering the warehouse and exiting the warehouse can be realized through radio frequency identification.
And step 130, when the identification information of the goods is detected, acquiring the position information of the vehicle.
In this step, when the identification information of the goods is detected by the radio frequency identification module, indicating that the goods are likely to be delivered from or stored in the warehouse, the position information of the vehicle is acquired by the positioning module, and the position information of the vehicle is the information of the current position of the current goods transport vehicle.
And 150, detecting whether the position information of the vehicle is matched with preset position information.
It should be understood that detecting whether the position information of the vehicle matches the preset position information may be detecting whether the position information of the vehicle coincides with the preset position information, or detecting that the position information of the vehicle is within a preset range of the preset position information.
Specifically, the preset position information is position information of a preset initial position and a preset destination position, that is, the preset position information includes a start point, an end point and a transit point of the vehicle, and when the position information of the vehicle matches the preset position information, it indicates that the vehicle is at the start point, the end point or the transit point, and then the goods are unloaded or unloaded in the warehouse.
And 170, when the position information of the vehicle is not matched with the preset position information, shooting through a camera module to obtain a warehousing image.
Specifically, when the position information of the vehicle does not match the preset position information, it indicates that the vehicle is not at the starting point, the ending point or the transit point, and then the goods are not normally loaded and unloaded in the warehouse. Therefore, the image of the warehouse-in and warehouse-out is obtained through the shooting of the camera module so as to record the abnormal loading and unloading.
In this embodiment, camera module sets up in the warehouse, and camera module's shooting direction is towards the inside and the warehouse mouth in warehouse, like this, when the goods appears the unusual goods of getting up and unloading, makes camera module can give the condition of shooting the warehouse mouth.
Specifically, in this embodiment, the in-out warehouse image is sent to the remote server, so that a user of the remote server can timely know abnormal unloading or loading. It should be understood that the camera module can continuously shoot in the warehouse, such as shooting videos, and the videos are stored locally, that is, the videos shot by the camera module in real time are stored on the storage module on the vehicle, and due to the large amount of video data, if all the video data are sent to the remote server, the bandwidth is large, and a large amount of traffic is generated. Therefore, in the embodiment, the camera module continuously shoots and obtains the video of the cargo compartment and stores the video on the storage module of the vehicle, and when the identification information and the position information of the cargo are detected to be not matched, the obtaining of the in-out warehouse image is triggered, and the in-out warehouse image is sent to the remote server. Therefore, when the position information of the vehicle is not matched with the preset position information, the in-out warehouse image is sent to the remote server, the occupation of the bandwidth can be effectively reduced, and the generated flow is reduced.
In addition, the camera module can rotate to shoot in the shooting process, and when goods are loaded and unloaded abnormally, the goods warehouse opening can not be shot accurately, so that the acquisition and the sending of the in-out warehouse images are triggered by detecting the identification information and the position information of the goods, the in-out warehouse images of the goods can be effectively and accurately acquired, and the in-out warehouse images of the goods can be sent to the remote server.
In the embodiment, the identification information of the goods is detected through radio frequency identification to judge whether the goods are delivered or warehoused, after the identification information of the goods is detected, whether the position of a vehicle is on a preset position is detected, whether the vehicle is on a driving route is further judged, when the vehicle is on the driving route, an image is obtained through shooting of a camera module and is sent to a remote server, and therefore the remote server can record the delivery condition of the goods and can timely find abnormal delivery of the goods.
In another embodiment, the detection of the identification information of the cargo may be implemented by a detection camera module, which is different from the camera module, the camera module is used for shooting an image, and the detection camera module is used for shooting an image of the cargo, analyzing the image of the cargo, and obtaining the identification information of the cargo. In one embodiment, step 110 is: and detecting the identification information of the goods by detecting the camera module. In one embodiment, the detection camera module is arranged at a position close to the bin opening and is arranged towards the bin opening. It should be understood that the detection camera module analyzes the image to obtain the goods may be implemented by using an existing image recognition technology, for example, in an unmanned supermarket, the camera may obtain the goods purchased by the user by shooting the image, analyzing the image, and performing settlement. Therefore, the detection camera module can obtain the identification information of the goods through image analysis, the calculation can be carried out through local computer resources, and the images can also be uploaded to a remote server through the communication module and then be calculated by the remote server. Therefore, the goods can be identified without carrying electronic tags, and the goods loading and unloading can be detected.
In order to generate an alarm in time so as to avoid the abnormal loading and unloading of continuous goods, in one embodiment, the receiving remote server responds to an alarm instruction sent by the loading and unloading images and controls the alarm module to send out an alarm. In this embodiment, the alarm module is an audible alarm, such as a buzzer, or an audible and visual alarm. When the remote server receives the in-out garage image, an alarm instruction can be directly fed back to the vehicle, and the user can input the alarm instruction by displaying the in-out garage image. The alarm module sends an alarm, so that abnormal loading and unloading of the goods can be effectively notified, and the abnormal loading and unloading of the goods are limited.
In order to timely limit the abnormal loading and unloading of goods, in one embodiment, the remote server responds to an alarm instruction sent by the in-out warehouse image and controls the door to be closed and locked. In this embodiment, when receiving the warehouse entry image, the remote server may directly feed back a door closing instruction to the vehicle, and may also input a door closing instruction by the user by displaying the warehouse entry image, so as to control the closing and locking of the warehouse door, and avoid abnormal loading and unloading of goods by closing the warehouse door.
In one embodiment, the step of capturing the obtained warehousing image through the camera module when the identification information of the goods is detected comprises: and when the identification information of the goods is detected, detecting whether the identification information is stored in a warehousing list, and when the identification information is stored in the warehousing list, deleting the identification information from the warehousing list, and obtaining a warehousing image by shooting through a camera module.
Specifically, the warehousing list is a list of cargos in a cargo compartment of the vehicle, when the cargos enter the cargo compartment, the cargos are detected by the radio frequency identification module or the detected camera module, and the identification information of the cargos is recorded in the warehousing list, so that the warehousing list can completely record the real-time quantity of the cargos in the cargo compartment of the vehicle. In this embodiment, the warehousing list is stored in a local storage module of the vehicle, when the identification information of the goods is detected, whether the identification information exists in the warehousing list is detected, if so, the goods are in the warehouse, and the identification information detected at this time is detected due to the fact that the goods are delivered out of the warehouse, so that the identification information of the goods is deleted from the warehousing list, the delivery of the goods is realized, the identification information recorded in the warehousing list is in the warehouse, and the delivery of the goods is deleted in time. When the identification information is explained from the warehousing inventory, the images of the goods entering and leaving the warehouse are shot and obtained at the same time.
In order to record goods that have been delivered, in one embodiment, when the identification information is stored in the warehousing list, the identification information is deleted from the warehousing list and recorded in the delivery list. In this embodiment, the delivery list is used to record a list of the goods delivered from the warehouse of the vehicle during one transportation. It should be understood that in a complete transportation process, all recorded identification information in the warehousing list should be consistent with all recorded identification information in the ex-warehouse list, for example, at the starting point, all goods are warehoused, the warehousing list contains all goods, and at the ending point, all goods in the warehouse are ex-warehouse, the ex-warehouse list contains all goods, so the number of entries of all recorded identification information in the warehousing list should be equal to the number of entries of all recorded identification information in the ex-warehouse list. Before the next transportation, the warehousing list and the ex-warehouse list are cleared, so that the goods are accurately recorded in and out of the warehouse.
In one embodiment, the step of obtaining an in-out warehouse image by shooting through a camera module when the identification information of the goods is detected further comprises: and when the identification information is not stored in the warehousing list, recording the identification information into the warehousing list, and obtaining a warehousing image by shooting through a camera module.
In this embodiment, when the warehousing list includes the identification information and indicates that the cargo is not originally in the warehouse, the detected identification information is caused by warehousing the cargo and indicates that the cargo is warehoused at this time, and therefore, the identification information is recorded in the warehousing list, and an image of warehousing and ex-warehouse of the cargo is obtained by shooting.
In one embodiment, the method further comprises the steps of: receiving a shooting mode selection instruction; and determining the shooting working mode of the camera module according to the shooting mode selection instruction.
In the present embodiment, a photographing mode selection instruction is input by a driver of the vehicle or a user on the vehicle, or a remote server, and the photographing mode selection instruction is used to select and determine a photographing operation mode of the photographing module. In the embodiment, a shooting mode selection instruction is received; and determining a shooting working mode of the camera module according to the camera mode selection instruction, and controlling the camera module to work in the corresponding shooting working mode.
In one embodiment, the photographing operation mode includes: an automatic cycle rotation shooting mode, a fixed point shooting mode and a manual control shooting mode.
In this embodiment, the shooting mode selection instruction includes an automatic mode selection instruction, a fixed point mode selection instruction, and a manual control selection instruction, where the automatic mode selection instruction is used to switch the shooting operating mode of the camera module to an automatic cycle rotation shooting mode, the fixed point mode selection instruction is used to switch the shooting operating mode of the camera module to a fixed point shooting mode, and the manual control selection instruction is used to switch the shooting operating mode of the camera module to a manual control shooting mode. In this embodiment, when an automatic mode selection instruction is received, the shooting operating mode of the camera module is switched to an automatic cycle rotation shooting mode, when a fixed point mode selection instruction is received, the shooting operating mode of the camera module is switched to a fixed point shooting mode, and when a manual control selection instruction is received, the shooting operating mode of the camera module is switched to a manual control shooting mode.
Specifically, the camera module is a camera module with a cradle head, and the cradle head is an electric cradle head, so that the shooting direction of the camera module is rotatable and adjustable. In the automatic cyclic rotation shooting mode, the shooting direction of the camera module circularly rotates back and forth along a preset coordinate track, shooting is continuously performed in the rotating process, fixed-point shooting is performed on the camera module continuously towards a fixed direction, or fixed-point shooting is performed on the camera module in the preset direction, the preset direction is determined by a preset coordinate point, and the manual control shooting mode is that the shooting direction of the camera module is adjusted according to a control instruction of a user and shooting is performed in the adjusting process.
Like this, under being in automatic cycle rotation shooting mode, camera module can automatic adjustment shoot the angle to shoot along the coordinate orbit of predetermineeing, thereby fully cover the warehouse, can record the most condition in the warehouse. And under the fixed point shooting mode, the camera module continuously shoots towards the preset direction, and the condition in the preset direction can be accurately recorded. In the manual control shooting mode, the shooting direction is adjusted by the camera module according to the control instruction, shooting can be carried out purposefully, and the condition required by a user can be accurately recorded.
In order to avoid that an illegal user controls the camera module, so that the camera module cannot accurately record the abnormity in the warehouse, in one embodiment, when the camera module is in an automatic cycle rotation shooting mode, when a manual control selection instruction is received, whether the current coordinate of the camera module is a switching coordinate or not is detected, and when the current coordinate of the camera module is the switching coordinate, the shooting working mode of the camera module is switched from the automatic cycle rotation shooting mode to the manual control shooting mode; and when the current coordinates of the camera module are not the switching coordinates, keeping the camera module in the automatic cycle rotation shooting mode.
In this embodiment, when the manual control selection instruction is received, the shooting operating mode is not directly switched to the manual control shooting mode, but whether the current coordinate is the switching coordinate is detected first, and when the current coordinate of the camera module is the switching coordinate, the switching is performed. Specifically, the current coordinate is a real-time coordinate of the camera module on the preset coordinate track when receiving the manual control selection instruction, the switching coordinate is one of the coordinates on the preset coordinate track, the switching coordinate may be preset by the user or recorded in the last mode switching, since the switching coordinate is only known by the user, the illegal user cannot know the switching coordinate, and therefore, the illegal user inputs the manual control selection instruction in time, the shooting working mode of the camera module cannot be switched to the manual control shooting mode, the switching coordinate provides a means for verifying the legal user, and therefore, the shooting working mode can be switched to the manual control shooting mode only if the current coordinate is consistent with the switching coordinate, so that the control of the illegal user is avoided, and the camera module can continuously perform the round-trip shooting along the preset coordinate track, thereby effectively recording the abnormality. Through the verification of the coordinates, a legal user can be conveniently verified without an additional verification means, so that the verification is more convenient and more concealed.
In order to avoid that an illegal user obtains a switching coordinate and reasonably sets the switching coordinate, in one embodiment, when the camera module is in a manual control shooting mode and an automatic mode selection instruction is received, the current coordinate of the camera module is obtained and recorded as the switching coordinate, the switching coordinate is stored and displayed, and the shooting working mode of the camera module is switched from the manual control shooting mode to the automatic cycle rotation shooting mode.
In this embodiment, when the camera module is in the manual control shooting mode, the user can adjust the angle of the camera module at will, and when the camera module needs to be switched to the automatic cycle rotation shooting mode, the current coordinate of the camera module is obtained first, and the current coordinate is recorded as the switching coordinate, so that the camera module is switched back to the manual control shooting mode later, the comparison and verification can be provided, and the user can know the switching coordinate by displaying the switching coordinate, so that when the user switches the shooting mode to the manual control shooting mode again, the user can adjust the shooting coordinate of the camera module to the switching coordinate first, and after the verification, the shooting mode is legally switched to the manual control shooting mode.
In order to enable a user to accurately switch the shooting operation mode from the automatic rotation shooting mode to the manual control shooting mode, in one embodiment, the shooting coordinates of the camera module are displayed in real time in the automatic rotation shooting mode. Specifically, the shooting coordinates displayed in real time are the current coordinates of the camera module, so that when a legal user needs to switch the shooting working mode of the camera module from the automatic circulation rotation shooting mode to the manual control shooting mode, the current coordinates of the camera module can be observed, and when the current coordinates are consistent with the switching coordinates, a manual control selection instruction is input, so that the legal user passes through the verification, and the shooting working mode is switched from the automatic circulation rotation shooting mode to the manual control shooting mode.
In order to switch the fixed-point shooting mode to the manual control shooting mode and avoid an illegal user from switching the fixed-point shooting mode to the manual control shooting mode, in one embodiment, when the camera module is in the fixed-point shooting mode, when a manual control selection instruction is received, the shooting working mode of the camera module is switched from the fixed-point shooting mode to the manual control shooting mode, whether the camera module rotates to a preset coordinate within a preset time in the manual control shooting mode is detected, if so, the manual control shooting mode is kept, and if not, the manual control shooting mode is switched to the fixed-point shooting mode.
Specifically, the preset coordinates are coordinates corresponding to the fixed point shooting mode. It is worth mentioning that in the fixed-point shooting mode, the real-time coordinates of the camera module are not displayed. Thus, the illegal user cannot obtain the coordinate of the camera module at the fixed point, namely cannot know the preset coordinate. The coordinates of the fixed-point shooting mode are set by the user, so that a legal user can know that the fixed-point shooting mode can be directly switched when being switched to the manual control shooting mode, but the coordinates of the camera module are required to be adjusted to the preset coordinates within the preset time so as to verify the legal user, when the coordinates of the camera module are adjusted to the preset coordinates within the preset time, the legal user passes the verification, therefore, the switched manual control shooting mode can be kept, and if the coordinates of the camera module are not adjusted to the preset coordinates within the preset time, the user is indicated to be an illegal user, and the fixed-point shooting mode is switched back to the initial fixed-point shooting mode. Therefore, the method realizes the quick identification of the legal user, can conveniently verify the legal user without additional verification means, and ensures that the verification is more convenient and more concealed.
In order to switch the manual control shooting mode to the fixed-point shooting mode or the automatic cycle rotation shooting mode, in one embodiment, when the camera module is in the manual control shooting mode, when a fixed-point mode selection instruction is received, the shooting working mode of the camera module is switched to the fixed-point shooting mode, and the preset coordinates are obtained according to the fixed-point mode selection instruction, so that the camera module shoots at the preset coordinates. In this embodiment, the fixed point mode selection instruction carries a preset coordinate, so that the camera module performs shooting at the preset coordinate when switching to the fixed point shooting mode.
In one embodiment, when the camera module is in the manual control shooting mode, the shooting operation mode of the camera module is switched to the automatic cycle rotation shooting mode when an automatic mode selection instruction is received.
In the above embodiment, since the manual control shooting mode is switched by the coordinate verification, the manual control shooting mode is manually controlled by a legal user, and therefore, the manual control shooting mode is switched to the fixed-point shooting mode or the automatic cycle rotation shooting mode, and the manual control shooting mode can be directly switched without the coordinate verification.
It should be noted that the fixed-point shooting mode and the automatic cycle rotation shooting mode cannot be directly switched, and the manual control shooting mode needs to be switched to the manual control shooting mode first, so that the manual control shooting mode can be switched to the fixed-point shooting mode or the automatic cycle rotation shooting mode. Therefore, the switching between the fixed-point shooting mode and the automatic cycle rotation shooting mode by an illegal user can be avoided.
As shown in fig. 2, in one embodiment, there is provided a goods transportation system based on internet of vehicles, comprising: a communication module 210, a camera module 220, a radio frequency identification module 230, a positioning module 240 and a processing module 250; the communication module 210, the camera module 220 and the rfid module 230 are all electrically connected to the processing module 250; the communication module 210 is used for communication connection with a remote server; the rfid module 230 is used for reading the identification information of the goods; the positioning module 240 is used for acquiring the position information of the vehicle; the camera module 220 is used for shooting the images of the cargos entering and leaving the warehouse; the processing module 250 is configured to, when the radio frequency identification module 230 reads an identification information, acquire the position information of the vehicle through the positioning module 240, detect whether the position information of the vehicle matches with the preset position information, control the camera module 220 to shoot to acquire the in-out-of-garage image when the position information of the vehicle does not match with the preset position information, and send the in-out-of-garage image to the remote server through the communication module 210.
In this embodiment, a Radio Frequency Identification (RFID) module is disposed at the top of the warehouse opening, so that the RFID module can detect the cargo entering or exiting the warehouse opening. In this embodiment, the goods carry the electronic tags, and the electronic tags carry displacement identification information of the goods. Therefore, the radio frequency identification module can detect the identification information of the goods read to the entrance and exit.
The Positioning module is a GPS (Global Positioning System) Positioning module, and can obtain position information of the vehicle in real time. The camera module is used for shooting videos or images in the warehouse and is also used for shooting warehouse-in and warehouse-out images when goods at the warehouse port are abnormally warehoused or warehoused under the control of the processing module. The communication module is a 4G or 5G module and can send the image to a remote server through a mobile communication network or an internet of things.
The processing module can be a processing module of an independent computer on the vehicle, and can also be a cloud computer with certain data processing capacity provided by computer resources at the cloud end.
In the embodiment, the identification information of the goods is detected through radio frequency identification to judge whether the goods are delivered or warehoused, after the identification information of the goods is detected, whether the position of a vehicle is on a preset position is detected, whether the vehicle is on a driving route is further judged, when the vehicle is on the driving route, an image is obtained through shooting of a camera module and is sent to a remote server, and therefore the remote server can record the delivery condition of the goods and can timely find abnormal delivery of the goods.
In one embodiment, the processing module is further configured to detect whether the identification information is stored in a warehousing list when the radio frequency identification module reads the identification information, delete the identification information from the warehousing list when the identification information is stored in the warehousing list, and capture and obtain a warehousing image through the camera module.
In this embodiment, the goods transportation system based on the internet of vehicles further comprises a storage module, and the storage module is used for storing the warehousing list. The warehousing list is a list of cargos in the cargo compartment of the vehicle, when the cargos enter the cargo compartment, the cargos are detected by the radio frequency identification module or the detected camera module, and the identification information of the cargos is recorded in the warehousing list, so that the warehousing list can completely record the real-time quantity of the cargos in the cargo compartment of the vehicle. In this embodiment, the warehousing list is stored in a local storage module of the vehicle, when the identification information of the goods is detected, whether the identification information exists in the warehousing list is detected, if so, the goods are in the warehouse, and the identification information detected at this time is detected due to the fact that the goods are delivered out of the warehouse, so that the identification information of the goods is deleted from the warehousing list, the delivery of the goods is realized, the identification information recorded in the warehousing list is in the warehouse, and the delivery of the goods is deleted in time. When the identification information is explained from the warehousing inventory, the images of the goods entering and leaving the warehouse are shot and obtained at the same time.
In addition, the storage module is also used for storing the video and the image shot by the camera module. Therefore, the video data shot by the camera module is stored locally, so that the occupation of bandwidth can be reduced, and the data transmission quantity is reduced.
In order to record the goods that have been delivered, in one embodiment, the processing module is further configured to delete the identification information from the warehousing list and record the identification information in the delivery list when the identification information is stored in the warehousing list. In this embodiment, the delivery list is used to record a list of the goods delivered from the warehouse of the vehicle during one transportation.
In one embodiment, the processing module is further configured to record the identification information into the warehousing list when the identification information is not stored in the warehousing list, and obtain a warehousing image by shooting through a camera module.
In this embodiment, when the warehousing list includes the identification information and indicates that the cargo is not originally in the warehouse, the detected identification information is caused by warehousing the cargo and indicates that the cargo is warehoused at this time, and therefore, the identification information is recorded in the warehousing list, and an image of warehousing and ex-warehouse of the cargo is obtained by shooting.
In an embodiment, the processing module is further configured to control the image capturing module to switch to a shooting working mode corresponding to the shooting mode selection instruction according to the shooting mode selection instruction after receiving the shooting mode selection instruction. In one embodiment, the shooting operation modes of the camera module include an automatic cycle rotation shooting mode, a fixed point shooting mode and a manual control shooting mode.
In this embodiment, the shooting mode selection instruction includes an automatic mode selection instruction, a fixed point mode selection instruction, and a manual control selection instruction, where the automatic mode selection instruction is used to switch the shooting operating mode of the camera module to an automatic cycle rotation shooting mode, the fixed point mode selection instruction is used to switch the shooting operating mode of the camera module to a fixed point shooting mode, and the manual control selection instruction is used to switch the shooting operating mode of the camera module to a manual control shooting mode. In this embodiment, when an automatic mode selection instruction is received, the shooting operating mode of the camera module is switched to an automatic cycle rotation shooting mode, when a fixed point mode selection instruction is received, the shooting operating mode of the camera module is switched to a fixed point shooting mode, and when a manual control selection instruction is received, the shooting operating mode of the camera module is switched to a manual control shooting mode.
Specifically, camera module is the camera module who takes the cloud platform, and this cloud platform is electronic cloud platform, and consequently, camera module's shooting direction is rotatable, and adjustable can rotate along the horizontal direction, also can rotate along vertical direction. In the automatic cyclic rotation shooting mode, the shooting direction of the camera module circularly rotates back and forth along a preset coordinate track, shooting is continuously performed in the rotating process, fixed-point shooting is performed on the camera module continuously towards a fixed direction, or fixed-point shooting is performed on the camera module in the preset direction, the preset direction is determined by a preset coordinate point, and the manual control shooting mode is that the shooting direction of the camera module is adjusted according to a control instruction of a user and shooting is performed in the adjusting process.
Like this, under being in automatic cycle rotation shooting mode, camera module can automatic adjustment shoot the angle to shoot along the coordinate orbit of predetermineeing, thereby fully cover the warehouse, can record the most condition in the warehouse. And under the fixed point shooting mode, the camera module continuously shoots towards the preset direction, and the condition in the preset direction can be accurately recorded. In the manual control shooting mode, the shooting direction is adjusted by the camera module according to the control instruction, shooting can be carried out purposefully, and the condition required by a user can be accurately recorded.
In order to avoid that an illegal user controls the camera module, so that the camera module cannot accurately record the abnormity in the warehouse, in one embodiment, the processing module is further used for detecting whether the current coordinate of the camera module is a switching coordinate or not when the camera module is in the automatic circulation rotation shooting mode and receiving a manual control selection instruction, and switching the shooting working mode of the camera module from the automatic circulation rotation shooting mode to the manual control shooting mode when the current coordinate of the camera module is the switching coordinate; and when the current coordinates of the camera module are not the switching coordinates, keeping the camera module in the automatic cycle rotation shooting mode.
In this embodiment, when the manual control selection instruction is received, the shooting operating mode is not directly switched to the manual control shooting mode, but whether the current coordinate is the switching coordinate is detected first, and when the current coordinate of the camera module is the switching coordinate, the switching is performed. Specifically, the current coordinate is a real-time coordinate of the camera module on the preset coordinate track when receiving the manual control selection instruction, the switching coordinate is one of the coordinates on the preset coordinate track, the switching coordinate may be preset by the user or recorded in the last mode switching, since the switching coordinate is only known by the user, the illegal user cannot know the switching coordinate, and therefore, the illegal user inputs the manual control selection instruction in time, the shooting working mode of the camera module cannot be switched to the manual control shooting mode, the switching coordinate provides a means for verifying the legal user, and therefore, the shooting working mode can be switched to the manual control shooting mode only if the current coordinate is consistent with the switching coordinate, so that the control of the illegal user is avoided, and the camera module can continuously perform the round-trip shooting along the preset coordinate track, thereby effectively recording the abnormality. Through the verification of the coordinates, a legal user can be conveniently verified without an additional verification means, so that the verification is more convenient and more concealed.
In order to avoid that an illegal user obtains the switching coordinate and reasonably sets the switching coordinate, in one embodiment, the processing module is further configured to, when the camera module is in the manual control shooting mode and an automatic mode selection instruction is received, obtain a current coordinate of the camera module, record the current coordinate as the switching coordinate, store the switching coordinate, display the switching coordinate, and switch the shooting working mode of the camera module from the manual control shooting mode to the automatic cycle rotation shooting mode.
In this embodiment, the cargo transportation system further includes a display module, for example, the display module is a display, and in this embodiment, the switching coordinate is displayed by the display module. Specifically, when the camera module is in a manual control shooting mode, a user can randomly adjust the angle of the camera module, and when the camera module needs to be switched to an automatic cycle rotation shooting mode, the current coordinate of the camera module is firstly obtained and recorded as a switching coordinate, so that the camera module is switched back to the manual control shooting mode later, comparison verification can be provided, the user can know the switching coordinate by displaying the switching coordinate, and then when the user switches the shooting mode to the manual control shooting mode again, the camera module can be firstly adjusted to the switching coordinate by adjusting the shooting coordinate of the camera module, and after verification, the shooting mode is legally switched to the manual control shooting mode.
In order to enable the user to accurately switch the shooting working mode from the automatic circulation rotation shooting mode to the manual control shooting mode, in one embodiment, the processing module is further configured to display the shooting coordinates of the camera module in real time through the display module in the automatic circulation rotation shooting mode. In this embodiment, the shooting coordinate displayed in real time by the display is the current coordinate of the camera module, so that when a legal user needs to switch the shooting working mode of the camera module from the automatic circulation rotation shooting mode to the manual control shooting mode, the current coordinate of the camera module can be observed, and when the current coordinate is consistent with the switching coordinate, a manual control selection instruction is input, so that the legal user can be verified to pass through, thereby realizing the switching of the shooting working mode from the automatic circulation rotation shooting mode to the manual control shooting mode.
In order to switch the fixed-point shooting mode to the manual control shooting mode and avoid an illegal user from switching the fixed-point shooting mode to the manual control shooting mode, in one embodiment, the processing module is further configured to switch the shooting working mode of the camera module from the fixed-point shooting mode to the manual control shooting mode when the camera module is in the fixed-point shooting mode and a manual control selection instruction is received, detect whether the camera module rotates to a preset coordinate within a preset time in the manual control shooting mode, if so, keep the manual control shooting mode, and otherwise, switch to the fixed-point shooting mode.
Specifically, the preset coordinates are coordinates corresponding to the fixed point shooting mode. It should be noted that, in the fixed-point shooting mode, the display module does not display the real-time coordinates of the camera module, and the processing module does not output the real-time coordinates in other manners. Thus, the illegal user cannot obtain the coordinate of the camera module at the fixed point, namely cannot know the preset coordinate. The coordinates of the fixed-point shooting mode are set by the user, so that a legal user can know that the fixed-point shooting mode can be directly switched when being switched to the manual control shooting mode, but the coordinates of the camera module are required to be adjusted to the preset coordinates within the preset time so as to verify the legal user, when the coordinates of the camera module are adjusted to the preset coordinates within the preset time, the legal user passes the verification, therefore, the switched manual control shooting mode can be kept, and if the coordinates of the camera module are not adjusted to the preset coordinates within the preset time, the user is indicated to be an illegal user, and the fixed-point shooting mode is switched back to the initial fixed-point shooting mode. Therefore, the method realizes the quick identification of the legal user, can conveniently verify the legal user without additional verification means, and ensures that the verification is more convenient and more concealed.
In order to switch the manual control shooting mode to the fixed-point shooting mode or the automatic cycle rotation shooting mode, in an embodiment, the processing module is further configured to switch the shooting operating mode of the camera module to the fixed-point shooting mode when the camera module is in the manual control shooting mode and a fixed-point mode selection instruction is received, and obtain the preset coordinates according to the fixed-point mode selection instruction, so that the camera module shoots at the preset coordinates. In this embodiment, the fixed point mode selection instruction carries a preset coordinate, so that the camera module performs shooting at the preset coordinate when switching to the fixed point shooting mode.
In one embodiment, the processing module is further configured to switch the shooting operation mode of the camera module to the automatic cycle rotation shooting mode upon receiving an automatic mode selection instruction when the camera module is in the manual control shooting mode.
In the above embodiment, since the manual control shooting mode is switched by the coordinate verification, the manual control shooting mode is manually controlled by a legal user, and therefore, the manual control shooting mode is switched to the fixed-point shooting mode or the automatic cycle rotation shooting mode, and the manual control shooting mode can be directly switched without the coordinate verification.
It should be noted that the fixed-point shooting mode and the automatic cycle rotation shooting mode cannot be directly switched, and the manual control shooting mode needs to be switched to the manual control shooting mode first, so that the manual control shooting mode can be switched to the fixed-point shooting mode or the automatic cycle rotation shooting mode. Therefore, the switching between the fixed-point shooting mode and the automatic cycle rotation shooting mode by an illegal user can be avoided.
It should be noted that, in the above embodiments, the included modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
In addition, those skilled in the art can understand that the functions of all or part of the modules in the method for implementing the embodiments described above can be implemented by a program to instruct the relevant hardware, and the corresponding program can be stored in a readable storage medium.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A goods transportation method based on the Internet of vehicles is characterized by comprising the following steps:
detecting identification information of the goods;
when the identification information of the goods is detected, acquiring the position information of a vehicle;
detecting whether the position information of the vehicle is matched with preset position information;
when the position information of the vehicle is not matched with the preset position information, shooting through a camera module to obtain an in-out garage image;
and sending the in-out warehouse image to a remote server.
2. The Internet of vehicles-based cargo transportation method according to claim 1, wherein the step of capturing the acquired warehousing image by a camera module when the identification information of the cargo is detected comprises:
and when the identification information of the goods is detected, detecting whether the identification information is stored in a warehousing list, and when the identification information is stored in the warehousing list, deleting the identification information from the warehousing list, and obtaining a warehousing image by shooting through a camera module.
3. The internet-of-vehicles-based cargo transportation method according to claim 2, wherein the step of obtaining an in-out image by photographing through a camera module when the identification information of the cargo is detected further comprises:
and when the identification information is not stored in the warehousing list, recording the identification information into the warehousing list, and obtaining a warehousing image by shooting through a camera module.
4. The internet of vehicles based cargo transportation method of claim 1, further comprising the steps of:
receiving a shooting mode selection instruction;
and determining the shooting working mode of the camera module according to the shooting mode selection instruction.
5. The Internet of vehicles based cargo transportation method of claim 4, wherein the photographing operation mode comprises:
an automatic cycle rotation shooting mode, a fixed point shooting mode and a manual control shooting mode.
6. A goods transportation system based on Internet of vehicles, comprising: the device comprises a communication module, a camera module, a radio frequency identification module, a positioning module and a processing module; the communication module, the camera module and the radio frequency identification module are all electrically connected with the processing module;
the communication module is used for being in communication connection with a remote server;
the radio frequency identification module is used for reading the identification information of the goods;
the positioning module is used for acquiring the position information of the vehicle;
the camera module is used for shooting the goods in and out of the warehouse;
the processing module is used for acquiring the position information of the vehicle through the positioning module when the radio frequency identification module reads identification information, detecting whether the position information of the vehicle is matched with preset position information or not, controlling the camera module to shoot to acquire the warehouse-in and warehouse-out image when the position information of the vehicle is not matched with the preset position information, and sending the warehouse-in and warehouse-out image to the remote server through the communication module.
7. The Internet of vehicles based cargo transportation system of claim 6, wherein the processing module is further configured to detect whether the identification information is stored in a warehousing list when the radio frequency identification module reads an identification information, delete the identification information from the warehousing list when the identification information is stored in the warehousing list, and obtain a warehousing image by shooting through the camera module.
8. The Internet of vehicles based cargo transportation system of claim 6, wherein the processing module is further configured to record the identification information into the warehousing inventory when the identification information is not stored in the warehousing inventory, and obtain warehousing images by shooting through a camera module.
9. The Internet of vehicles based cargo transportation system of claim 6, wherein the processing module is further configured to control the camera module to switch to a shooting mode corresponding to the shooting mode selection instruction according to the shooting mode selection instruction after receiving the shooting mode selection instruction.
10. The internet-of-vehicles based cargo transportation system of claim 9, wherein the camera module's camera mode of operation includes an automatic cycle rotation camera mode, a fixed point camera mode and a manual control camera mode.
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