CN106652457B - Method, unmanned aerial vehicle and system for detecting shared vehicle condition - Google Patents
Method, unmanned aerial vehicle and system for detecting shared vehicle condition Download PDFInfo
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- CN106652457B CN106652457B CN201710053091.9A CN201710053091A CN106652457B CN 106652457 B CN106652457 B CN 106652457B CN 201710053091 A CN201710053091 A CN 201710053091A CN 106652457 B CN106652457 B CN 106652457B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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Abstract
The invention discloses a method for detecting the condition of a shared vehicle, a corresponding unmanned aerial vehicle and a system, and belongs to the field of detection of shared vehicles. The unmanned aerial vehicle comprises an information receiving and transmitting circuit, an acquisition data storage circuit and a data pushing circuit. The unmanned aerial vehicle is utilized to detect or seek the shared traffic tool in the flying process, so that the manpower resources and the detection cost are saved.
Description
Technical Field
The present invention is in the field of shared vehicles.
Background
People often travel using vehicles, but public vehicles, and some people choose private vehicles, such as bicycles, electric vehicles, motorcycles, or automobiles. Some of the shared vehicles that occur in real life, such as shared bicycles, shared electric vehicles, shared motorcycles, or shared automobiles, etc. After a person arrives at a destination using the shared vehicle, the shared vehicle is parked in a public parking area. Thus, the shared vehicle can be used by other people, and the use efficiency of the vehicle is improved. Particularly for sharing a bicycle, the carbon emission can be reduced while great convenience is brought to the travel of people.
In real life, the shared vehicles are repeatedly used, and some of the shared vehicles can fail. If the user is not checked and maintained in time, the user can stop for a long time and cannot use the device, and the public area is occupied. And the vehicle can not be used for a long time, and certain parts of the shared vehicle can not be used due to rust, so that the cost is wasted. Still other situations, such as the destruction of an onboard locating device on a shared vehicle, or damage due to a malfunction, may result in the traffic server failing to locate the shared vehicle, i.e., being "out of contact. Even if the vehicle is known to be unusable due to damage, it cannot be serviced. In other cases, the traffic server cannot obtain information about whether the shared vehicle is intact, and human power is required to detect it. Because of the large number of shared vehicles, human detection thereof requires huge human costs.
Disclosure of Invention
The invention provides a method for detecting the condition of a shared vehicle, a corresponding unmanned aerial vehicle and a system, which are used for supervising the shared vehicle through the unmanned aerial vehicle.
A method of detecting a shared vehicle condition in the present invention comprises the steps of:
pushing the position information of the shared traffic tool to the unmanned aerial vehicle through the shared traffic tool or the traffic server;
the unmanned plane searches for the shared traffic tool in a flying mode, collects data information of the shared traffic tool, collects and identifies the shared traffic tool which does not acquire the position information, and judges the operation state of the shared traffic tool.
Further, before pushing the location information of the shared vehicle to the drone,
acquiring position information of a shared vehicle;
if the position information of the shared vehicle cannot be acquired, the identification information of the shared vehicle is sent to the unmanned aerial vehicle.
Further, the shared vehicle is a bicycle, or
The shared traffic means is an electric vehicle, or
The shared vehicle being a motorcycle, or
The shared vehicle is an unmanned car or a car to be driven.
Further, the method for pushing the position information to the unmanned aerial vehicle by the sharing vehicle comprises,
establishing a communication relationship between the shared vehicle and the unmanned aerial vehicle;
the unmanned aerial vehicle sends a request signal for information acquisition to the shared traffic tool;
and the sharing vehicle sends the position information to the unmanned aerial vehicle according to the request signal.
Further, in the process that the unmanned aerial vehicle flies and looks for according to the guidance of the position information, the shot ground information is collected, and whether the shared traffic tool meeting the detection condition is included is judged.
Further, the data information of the sharing vehicle includes image data information, sound data information, or data information sent from an on-board device of the sharing vehicle.
Further, the method comprises the following steps before the traffic server pushes the position information of the shared traffic tool to the unmanned plane,
determining whether the shared vehicle is in a normal state;
and if the shared traffic tool is in an abnormal state, sending a command of searching preferentially to the unmanned aerial vehicle.
Further, the abnormal state includes that the traffic server cannot acquire the positioning information of the shared vehicle or the shared vehicle is not parked at a prescribed location.
Further, the method comprises the steps of searching for abnormal shared vehicles,
judging whether the positioning information of the sharing traffic tool in an abnormal state can be acquired or not;
if yes, searching the shared traffic tool according to the positioning information;
if not, the positioning information of the sharing vehicle is acquired through the traffic server for the last time, and searching is carried out by taking the last positioning position of the sharing vehicle as a starting point.
Further, the method for judging the operation state of the shared traffic tool comprises the steps of photographing and positioning the shared traffic tool, comparing the photographed photograph and positioning information with the photograph and positioning information of the shared traffic tool in a preset normal operation state, and judging that the shared traffic tool is in the normal operation state if the comparison results are consistent; if the comparison results are inconsistent, the shared vehicle is judged to be in an abnormal operation state.
The invention also includes an unmanned aerial vehicle for detecting a shared vehicle condition, the unmanned aerial vehicle comprising:
the information receiving and transmitting circuit is used for establishing a communication relation with the shared traffic tool or the traffic server and receiving the position information of the shared traffic tool;
the acquisition circuit is connected with the information receiving and transmitting circuit and used for acquiring data information of the shared traffic tool;
the acquisition data storage circuit is used for storing the data information of the shared traffic tool acquired by the acquisition circuit;
and the data pushing circuit is used for pushing the collected data information of the shared vehicles or the processed data information of the shared vehicles to the target position.
Further, the drone also includes a rule storage circuit to store identification rules for the shared vehicles.
Further, the rules storage circuit includes an image rules storage sub-circuit and/or a parking rules storage sub-circuit to store image information and parking rules information of the shared vehicle.
Further, the unmanned aerial vehicle further comprises a judging circuit which is respectively connected with the collecting circuit and the rule storage circuit and used for comparing the data information collected by the collecting circuit with the identification rule to judge whether the shared traffic tool is in a normal operation state.
The invention also includes a system for detecting a condition of a shared vehicle, the system comprising:
a shared vehicle, the shared vehicle comprising,
the positioning device is used for positioning the position of the shared traffic tool to form the position information of the shared traffic tool;
the vehicle-mounted communication circuit is respectively communicated with the positioning device and a traffic server and is used for transmitting the position information of the shared traffic tool to the traffic server;
an unmanned aerial vehicle, the unmanned aerial vehicle comprising,
the acquisition circuit is used for acquiring data information of the shared traffic tool in a flight state of the unmanned aerial vehicle;
the unmanned aerial vehicle communication circuit is connected with the acquisition circuit and used for pushing the data information of the shared vehicles obtained by the acquisition circuit to the traffic server and receiving the position information of the shared vehicles from the traffic server;
a traffic server, the traffic server comprising,
the server communication circuit is respectively communicated with the vehicle-mounted communication circuit and the terminal communication circuit and is used for receiving the position information of the shared traffic tool and pushing the position information to the unmanned aerial vehicle;
a rule storage circuit for storing an identification rule of the shared vehicle;
and the judging circuit is respectively connected with the acquisition circuit and the rule storage circuit and is used for comparing the data information acquired by the acquisition circuit with the identification rule to judge whether the shared traffic tool is in a normal operation state.
Further, the server communication circuit includes a server communication sub-circuit respectively connected to the vehicle communication circuit and the unmanned aerial vehicle communication circuit for transmitting identification information of the shared vehicle for which the positioning information is not obtained to the unmanned aerial vehicle communication circuit.
Further, the judging circuit comprises a first judging sub-circuit which is connected with the collecting circuit and is used for judging whether the shared traffic tool meeting the detection condition is included or not according to the collected data information of the shared traffic tool in the process that the unmanned aerial vehicle flies and looks for according to the guidance of the position information.
Further, the unmanned aerial vehicle communication circuit comprises an unmanned aerial vehicle communication sub-circuit, and a communication relationship is established between the unmanned aerial vehicle communication sub-circuit and the vehicle-mounted communication circuit and is used for sending information acquisition request information to the vehicle-mounted communication circuit.
Advantages of the invention are as examples:
the unmanned aerial vehicle is utilized to detect or seek the shared traffic tool in the flying process, so that the manpower resources and the detection cost are saved.
Drawings
Fig. 1 is a flowchart of a method for detecting a shared vehicle condition by an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for acquiring location information from a shared vehicle by a drone according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for searching for a sharing vehicle in an abnormal state by using an unmanned aerial vehicle according to an embodiment of the present invention.
Fig. 4 is a block diagram of a configuration of a drone for detecting a status of a shared vehicle according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a working state of the unmanned aerial vehicle for detecting the shared traffic tool according to the embodiment of the present invention.
Fig. 6 is a schematic diagram of a working state of a traffic server and a shared vehicle according to an embodiment of the present invention to establish communication connection.
Fig. 7 is a schematic structural diagram of a system for detecting a status of a shared vehicle by using an unmanned aerial vehicle according to an embodiment of the present invention.
Reference numerals illustrate:
included in fig. 4 is a drone 100 to detect a shared vehicle condition;
an information transceiver circuit 110, a collection circuit 120;
the acquisition data storage circuit 130, the data pushing circuit 140;
a rule storage circuit 150, an image rule storage sub-circuit 151;
a parking rule storage sub-circuit 152, a decision circuit;
fig. 5 includes, unmanned plane 200, rotor 210, and camera 220;
a shared bicycle 230, an in-vehicle communication device 240;
included in fig. 6 is a traffic server 300, bicycle 310;
included in fig. 7 is a drone detection system 400, a shared vehicle 410;
a positioning device 411, an on-board communication circuit 412; a traffic server 420;
a server communication circuit 421, a rule storage circuit 422, a determination circuit 423;
unmanned aerial vehicle 430, acquisition circuit 431, unmanned aerial vehicle communication circuit 432, pushing unit 433.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
As shown in fig. 1, a method for detecting a shared vehicle condition by an unmanned aerial vehicle in the present invention includes:
s110, pushing the position information of the shared traffic tool to the unmanned aerial vehicle through the shared traffic tool or the traffic server;
s120, the unmanned aerial vehicle searches for the shared traffic tool in a flying mode, data information of the shared traffic tool is collected, and the operation state of the unmanned aerial vehicle is judged.
In this embodiment, the shared vehicle may be a bicycle, an electric vehicle, a motorcycle, an unmanned vehicle, or a vehicle to be driven.
Preferably, but not by way of limitation, the method further comprises the following steps before pushing the position information of the shared vehicle to the unmanned aerial vehicle:
acquiring position information of a shared vehicle;
if the position information of the shared vehicle cannot be acquired, the identification information of the shared vehicle is sent to the unmanned aerial vehicle.
Preferably, but not by way of limitation, the identification information of the vehicle mainly comprises an identification code located on the shared vehicle. The identification code may be composed of a string of numbers, such as "123456", a string of letters, such as "abcdefg", or a string of kanji, such as "plain sailing", etc.
In this embodiment, before the traffic server pushes the location information of the shared vehicle to the unmanned aerial vehicle, the method further includes the following steps:
determining whether the shared vehicle is in a normal state;
and if the shared traffic tool is in an abnormal state, sending a command of searching preferentially to the unmanned aerial vehicle.
Preferably, but not by way of limitation, the traffic server is capable of analyzing whether the shared vehicle is in a normal state based on data information transmitted from the shared vehicle. For example, when the parking position of the shared vehicle acquired by the traffic server is located in a cell, or the shared vehicle has not changed its position for two consecutive days, or the position information of the shared vehicle cannot be acquired, it may be estimated that the shared vehicle is in an abnormal state.
As shown in fig. 2, fig. 2 is a flow chart of a method for an unmanned aerial vehicle to obtain location information from a shared vehicle.
As can be seen from the figure, the method for the unmanned aerial vehicle to acquire the location information from the shared vehicle comprises the following steps:
s210, establishing a communication relationship between the shared vehicle and the unmanned aerial vehicle;
s220, the unmanned aerial vehicle sends a request signal for information acquisition to the shared traffic tool;
and S230, the sharing vehicle sends position information to the unmanned aerial vehicle according to the request signal.
Preferably, but not by way of limitation, the shared vehicle and the drone may be connected via a 3G or 4G network. Preferably, but not limited to, a GPS positioning module is disposed in the shared vehicle, the shared vehicle is positioned by the positioning module, positioning information of the shared vehicle is obtained, and the positioning information is sent to the unmanned aerial vehicle through a network.
Preferably, but not by way of limitation, the shared vehicle may transmit information about the user, the time of use, the riding line, etc. to the unmanned aerial vehicle. When the positioning device on the sharing vehicle is damaged or the positioning device cannot acquire positioning information due to damage, the unmanned aerial vehicle can narrow the searching range according to the information of the last user which can be acquired and the last stop position.
As shown in fig. 3, fig. 3 is a flow chart of a method for a drone to search for a shared vehicle in an abnormal state.
As can be seen from the figure, the method for searching for a shared vehicle in an abnormal state by the unmanned aerial vehicle comprises the following steps:
s310, judging whether the positioning information of the sharing traffic tool in an abnormal state can be acquired or not;
if yes, go to step S320;
s320, searching the shared traffic tool according to the positioning information;
if not, executing step S330 and step S340;
s330, acquiring positioning information of the sharing transportation means for the last time through a transportation server;
s340, searching with the last positioning position of the shared vehicle as the starting point.
In this embodiment, the sharing vehicle in an abnormal state includes two cases, that is, the positioning information cannot be acquired or the positioning information can be acquired but the positioning position of the sharing vehicle is not in the preset position.
Preferably, but not by way of limitation, the predetermined location may include a location on both sides of the road where the shared vehicle is exclusively parked, or may be an unscrambled, but custom-made, parking location that does not affect traffic.
As shown in fig. 4, fig. 4 is a block diagram of a configuration of a drone for detecting conditions of a shared vehicle.
As can be seen from the figure, the unmanned aerial vehicle 100 for detecting the condition of the shared vehicle includes an information transceiving circuit 110, an acquisition circuit 120, an acquisition data storage circuit 130, a data push circuit 140, a rule storage circuit 150, and a determination circuit 160. Wherein the storage circuit 150 comprises an image rule storage sub-circuit 151 and a parking rule storage sub-circuit 152.
In this embodiment, the unmanned aerial vehicle is in communication connection with the traffic server, and the information receiving and transmitting circuit can receive and transmit information to the traffic server. Preferably, but not by way of limitation, the traffic server is provided with a server communication circuit capable of transmitting information to the unmanned aerial vehicle via electromagnetic waves. In this embodiment, the information sent by the traffic server to the drone includes the location of the shared vehicle. If the traffic server cannot acquire the position of the public transportation means, the identification information of the shared transportation means can be sent to the unmanned aerial vehicle. Preferably, but not by way of limitation, the identification information of the vehicle mainly comprises an identification code located on the shared vehicle. The identification code may be composed of a string of numbers, such as "123456", a string of letters, such as "abcdefg", or a string of kanji, such as "plain sailing", etc. In real life, the identification code located on the shared vehicle is easily damaged by people, so that the unmanned aerial vehicle cannot find the shared vehicle losing the positioning function according to the identification code. In this embodiment, in the process that the unmanned aerial vehicle flies and searches according to the guidance of the position information, the ground information can be photographed, the photographed ground information is identified, and whether the shared vehicle meeting the detection condition is included or not is determined.
In this embodiment, after receiving the position information of the shared vehicle sent by the traffic server, the information transceiver circuit flies above the shared vehicle according to the position information, and performs information acquisition on the shared vehicle. The acquisition process may include, as a preferred but non-limiting example, photographing, video recording, etc. of the shared vehicle. In this embodiment, the unmanned aerial vehicle stores the acquired data information of the shared vehicle in the acquired data storage circuit, and then the data pushing circuit can send the acquired data information of the shared vehicle to the traffic server through the information receiving and sending circuit.
In this embodiment, the unmanned aerial vehicle further includes a rule storage circuit including an image rule storage sub-circuit and a parking rule storage sub-circuit. The rule storage circuit is to store identification rules for the shared vehicles. In this embodiment, the recognition rule may be an image recognition rule and a park recognition rule. Preferably, but not by way of limitation, the image recognition rule may be image information of the shared vehicle. The image information may include an image of when the shared vehicle is intact or a corrupted image. Depending on the location of the breach, handle breach images, foot pedal breach images, chain breach images, brake breach images, etc. may be included. Preferably, but not by way of limitation, when the unmanned aerial vehicle captures an image of the shared vehicle, the image comparison may precede when the shared vehicle is intact. Preferably, but not by way of limitation, when the similarity reaches more than eighty percent, it can be assumed that the shared vehicle is the target shared vehicle; if the similarity reaches one hundred percent, it can be assumed that the shared vehicle is in an intact state. The identification information, location information, and detection report of the shared vehicle are then transmitted to the traffic server via the information transceiver circuit. Preferably, but not by way of limitation, the determination circuit compares the image captured by the unmanned aerial vehicle with the corrupted image in the rule storage circuit to determine where the shared vehicle is experiencing a problem when the similarity is over eighty percent and not over one hundred percent. The identification information, location information, and detection report of the shared vehicle are then transmitted to the traffic server via the information transceiver circuit.
In the present embodiment, the parking rules of the shared vehicle are stored in the parking rules storage sub-circuit. Preferably, but not by way of limitation, the storage rules for the shared vehicles may be that the shared vehicles need to dock in a preset location. Preferably, but not by way of limitation, the predetermined location may include a location on both sides of the road where the shared vehicle is exclusively parked, or may be an unscrambled, but custom-made, parking location that does not affect traffic. These position information are stored in the parking rule storage sub-circuit. When the unmanned aerial vehicle shoots an image of the shared traffic tool, the shared traffic tool is positioned, and then the positioning position information is compared with the parking rules in the parking rule storage sub-circuit through the judging circuit, so that whether the parking position of the shared traffic tool is in compliance is judged. If the parking position of the shared traffic tool falls into the area in the parking rule storage sub-circuit through comparison, judging that the parking position is compliant; if the parking position of the shared vehicle does not fall within the region in the parking rules storage subcircuit, determining that the parking position is not compliant. The identification information, location information, and detection report of the shared vehicle are then transmitted to the traffic server via the information transceiver circuit.
As shown in fig. 5, fig. 5 is a schematic diagram of an operation state of the unmanned aerial vehicle for detecting the shared vehicle.
As can be seen, the drone 200 includes a rotor 210 and a camera 220. The shared bicycle 230 includes an in-vehicle communication device 240. The shared bicycle 230 is capable of establishing a communication connection with the drone 200 through the in-vehicle communication device 240. Preferably, but not by way of limitation, the onboard communication device 240 of the shared bicycle 230 establishes a communication connection with the drone 200 via a network.
In this embodiment, after the shared bicycle and the unmanned aerial vehicle establish communication connection, the unmanned aerial vehicle sends a request signal for information acquisition to the shared bicycle, and the shared bicycle sends position information to the unmanned aerial vehicle according to the request signal. Preferably, but not by way of limitation, the shared bicycle may also send other information to the unmanned aerial vehicle at the same time, for example, identification information of the shared bicycle may be sent, and the identification information of the shared bicycle mainly includes an identification code located on the shared bicycle. The identification code may be composed of a string of numbers, such as "123456", a string of letters, such as "abcdef", or a string of kanji, such as "you wish to plain sailing", etc. Of course, the shared bicycle may also send user information to the drone simultaneously, as well as the time of each use, the location of the stop, etc. The shared bicycle identification information, location information, and detection report are then sent to the traffic server.
As shown in fig. 6, fig. 6 is a schematic diagram of an operating state in which the traffic server establishes a communication connection with the shared vehicle.
As can be seen, the traffic server 300 and the bicycle 310 are capable of communicating data via a communication connection. Preferably, but not by way of limitation, the connection may be through a 3G or 4G network. Preferably, but not limited to, a GPS positioning module is provided in the bicycle 310, the bicycle 310 is positioned by the GPS positioning module, positioning information of the bicycle 310 is obtained, and the positioning information is transmitted to the traffic server 300 through a network.
Preferably, but not by way of limitation, the bicycle may also transmit information about the user, the time of use, the riding route, etc. to the traffic server. When the positioning device on the bicycle is damaged or the positioning information cannot be acquired due to damage of the positioning device, the traffic server can narrow the searching range according to the information of the last user which can be acquired by the bicycle and the position of the last stop.
Fig. 7 is a schematic structural diagram of a system for detecting a status of a shared vehicle by using an unmanned aerial vehicle according to the present invention.
As can be seen in the figure, the drone detection system 400 includes a shared vehicle 410, a traffic server 420, and a drone 430. Wherein the shared vehicle 410 includes a positioning device 411 and an on-board communication circuit 412; the traffic server 420 includes a server communication circuit 421, a rule storage circuit 422, and a determination circuit 423; the drone includes a harvesting circuit 431, a drone communication circuit 432, and a pushing unit 433. The purpose of each circuit and unit is as follows.
The shared vehicle in the invention can be a shared bicycle, a shared electric vehicle, a shared motorcycle or the like. The shared vehicle may comprise a vehicle-to-vehicle interface,
the positioning device is used for positioning the position of the shared traffic tool to form the position information of the shared traffic tool;
the vehicle-mounted communication circuit is respectively communicated with the positioning device and a traffic server and is used for transmitting the position information of the shared traffic tool to the traffic server;
in this embodiment, the unmanned aerial vehicle searches for the shared traffic tool in a flying manner, collects data information of the shared traffic tool, collects and identifies the shared traffic tool which does not obtain the position information, and determines an operation state of the shared traffic tool. The unmanned aerial vehicle comprises a plurality of unmanned aerial vehicles,
the acquisition circuit is used for acquiring data information of the shared traffic tool in a flight state of the unmanned aerial vehicle;
the unmanned aerial vehicle communication circuit is connected with the acquisition circuit and used for pushing the data information of the shared vehicles obtained by the acquisition circuit to the traffic server and receiving the position information of the shared vehicles from the traffic server;
the traffic server in this embodiment is configured to obtain the location information of the shared vehicle and push the location information to the unmanned aerial vehicle. The traffic server may include a server that is configured to receive a traffic signal,
the server communication circuit is respectively communicated with the vehicle-mounted communication circuit and the terminal communication circuit and is used for receiving the position information of the shared traffic tool and pushing the position information to the unmanned aerial vehicle;
a rule storage circuit for storing an identification rule of the shared vehicle;
and the judging circuit is respectively connected with the acquisition circuit and the rule storage circuit and is used for comparing the data information acquired by the acquisition circuit with the identification rule to judge whether the shared traffic tool is in a normal operation state.
In this embodiment, the server communication circuit includes a server communication sub-circuit connected to the vehicle communication circuit and the unmanned aerial vehicle communication circuit, respectively, for transmitting identification information of the shared vehicle for which the positioning information is not obtained to the unmanned aerial vehicle communication circuit.
In this embodiment, the determining circuit includes a first determining sub-circuit connected to the collecting circuit, and configured to determine, according to the collected data information of the shared vehicle, whether the shared vehicle meets the detection condition in a process that the unmanned aerial vehicle flies and looks for according to the guidance of the position information.
In this embodiment, the unmanned aerial vehicle communication circuit includes an unmanned aerial vehicle communication sub-circuit, the unmanned aerial vehicle communication sub-circuit with establish communication relation between the on-vehicle communication circuit for send the request information of information acquisition to the on-vehicle communication circuit.
Preferably, but not by way of limitation, the unmanned aerial vehicle is in communication with the traffic server, and the information transceiver circuit is capable of transmitting and receiving information to and from the traffic server. Preferably, but not by way of limitation, the traffic server is provided with a server communication circuit capable of transmitting information to the unmanned aerial vehicle via electromagnetic waves. In this embodiment, the information sent by the traffic server to the drone includes the location of the shared vehicle. If the traffic server cannot acquire the position of the public transportation means, the identification information of the shared transportation means can be sent to the unmanned aerial vehicle. Preferably, but not by way of limitation, the identification information of the vehicle mainly comprises an identification code located on the shared vehicle. The identification code may be composed of a string of numbers, such as "123456", a string of letters, such as "abcdefg", or a string of kanji, such as "plain sailing", etc. In real life, the identification code located on the shared vehicle is easily damaged by people, so that the unmanned aerial vehicle cannot find the shared vehicle losing the positioning function according to the identification code. In this embodiment, in the process that the unmanned aerial vehicle flies and searches according to the guidance of the position information, the ground information can be photographed, the photographed ground information is identified, and whether the shared vehicle meeting the detection condition is included or not is determined.
In this embodiment, the unmanned aerial vehicle further includes a rule storage circuit including an image rule storage sub-circuit and a parking rule storage sub-circuit. The rule storage circuit is to store identification rules for the shared vehicles. In this embodiment, the recognition rule may be an image recognition rule and a park recognition rule. Preferably, but not by way of limitation, the image recognition rule may be image information of the shared vehicle. The image information may include an image of when the shared vehicle is intact or a corrupted image. Depending on the location of the breach, handle breach images, foot pedal breach images, chain breach images, brake breach images, etc. may be included. Preferably, but not by way of limitation, when the unmanned aerial vehicle captures an image of the shared vehicle, the image comparison may precede when the shared vehicle is intact. Preferably, but not by way of limitation, when the similarity reaches more than eighty percent, it can be assumed that the shared vehicle is the target shared vehicle; if the similarity reaches one hundred percent, it can be assumed that the shared vehicle is in an intact state. The identification information, location information, and detection report of the shared vehicle are then transmitted to the traffic server via the information transceiver circuit. Preferably, but not by way of limitation, the determination circuit compares the image captured by the unmanned aerial vehicle with the corrupted image in the rule storage circuit to determine where the shared vehicle is experiencing a problem when the similarity is over eighty percent and not over one hundred percent. The identification information, location information, and detection report of the shared vehicle are then transmitted to the traffic server via the information transceiver circuit.
In the several embodiments provided in the present invention, it should be understood that the disclosed related apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit or module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The foregoing is only illustrative of the present invention and is not to be construed as limiting the scope of the invention, and all equivalent structures or equivalent flow modifications which may be made by the teachings of the present invention and the accompanying drawings or which may be directly or indirectly employed in other related art are within the scope of the invention.
Claims (10)
1. A method of detecting a condition of a shared vehicle, the method comprising,
acquiring the position information of the shared traffic tool, and pushing the position information of the shared traffic tool to the unmanned aerial vehicle through the shared traffic tool or a traffic server; when the position information of the shared traffic tool cannot be acquired, the identification information of the shared traffic tool is sent to the unmanned aerial vehicle through the traffic server;
for the shared traffic tool with the acquired position information, the unmanned aerial vehicle searches for the shared traffic tool in a flying mode according to the position information of the shared traffic tool, acquires the data information of the shared traffic tool, and judges whether the shared traffic tool is in a normal operation state or not;
the method for judging the operation state comprises the following steps: photographing and positioning the shared transportation means, comparing the photographed photograph and positioning information with the photograph and positioning information of the shared transportation means in a preset normal operation state, and judging that the shared transportation means is in the normal operation state if the comparison results are consistent; if the comparison results are inconsistent, the shared vehicle is judged to be in an abnormal operation state.
2. A method of detecting a shared vehicle condition as claimed in claim 1, wherein:
the shared vehicle being a bicycle, or
The shared traffic means is an electric vehicle, or
The shared vehicle being a motorcycle, or
The shared vehicle is an unmanned car.
3. A method of detecting a shared vehicle condition as claimed in claim 1, wherein: the aforementioned method of sharing vehicle pushing location information to a drone includes,
establishing a communication relationship between the shared vehicle and the unmanned aerial vehicle;
the unmanned aerial vehicle sends a request signal for information acquisition to the shared traffic tool;
and the sharing vehicle sends the position information to the unmanned aerial vehicle according to the request signal.
4. A method of detecting a shared vehicle condition as claimed in claim 3, wherein: and in the process that the unmanned aerial vehicle flies and looks for according to the guidance of the position information, acquiring the shot ground information, and judging whether the shared traffic tool meeting the detection condition is included in the ground information.
5. A method of detecting a shared vehicle condition as claimed in claim 1, wherein: the data information of the sharing vehicle comprises image data information, sound data information or data information sent by on-board equipment of the sharing vehicle.
6. A method of detecting a shared vehicle condition as claimed in claim 1, wherein: the traffic server may further comprise the step of,
determining whether the shared vehicle is in a normal state;
and if the shared traffic tool is in an abnormal state, sending a command of searching preferentially to the unmanned aerial vehicle.
7. A method of detecting a shared vehicle condition as claimed in claim 6, wherein: the abnormal state includes that the traffic server cannot acquire the positioning information of the shared vehicle or the shared vehicle is not parked at a specified position.
8. A method of detecting a shared vehicle condition as claimed in claim 6, wherein: the searching for abnormal shared vehicles may also be preceded by,
judging whether the positioning information of the sharing traffic tool in an abnormal state can be acquired or not;
if yes, searching the shared traffic tool according to the positioning information;
if not, the positioning information of the sharing vehicle is acquired through the traffic server for the last time, and searching is carried out by taking the last positioning position of the sharing vehicle as a starting point.
9. The unmanned aerial vehicle for detecting a shared vehicle condition according to claim 1, wherein the unmanned aerial vehicle comprises,
the information receiving and transmitting circuit is used for establishing a communication relation with the shared traffic tool or the traffic server and receiving the position information of the shared traffic tool;
the acquisition circuit is connected with the information receiving and transmitting circuit and used for acquiring data information of the shared traffic tool; the unmanned aerial vehicle flies above the shared traffic tool according to the position information received by the information receiving and sending circuit, and information acquisition is carried out on the shared traffic tool;
the acquisition data storage circuit is used for storing the data information of the shared traffic tool acquired by the acquisition circuit;
the data pushing circuit is used for pushing the collected data information of the shared vehicles or the processed data information of the shared vehicles to the target position;
a rule storage circuit to store identification rules of the shared vehicles;
and the judging circuit is respectively connected with the acquisition circuit and the rule storage circuit and is used for comparing the data information acquired by the acquisition circuit with the identification rule to judge whether the shared traffic tool is in a normal operation state.
10. A system for detecting a shared vehicle condition according to the method of claim 1, comprising,
a shared vehicle, the shared vehicle comprising,
the positioning device is used for positioning the position of the shared traffic tool to form the position information of the shared traffic tool;
the vehicle-mounted communication circuit is respectively communicated with the positioning device and a traffic server and is used for transmitting the position information of the shared traffic tool to the traffic server;
an unmanned aerial vehicle, the unmanned aerial vehicle comprising,
the acquisition circuit is used for acquiring data information of the shared traffic tool in a flight state of the unmanned aerial vehicle;
the unmanned aerial vehicle communication circuit is connected with the acquisition circuit and used for pushing the data information of the shared vehicles obtained by the acquisition circuit to the traffic server and receiving the position information of the shared vehicles from the traffic server;
a traffic server, the traffic server comprising,
the server communication circuit is respectively communicated with the vehicle-mounted communication circuit and the terminal communication circuit and is used for receiving the position information of the shared traffic tool and pushing the position information to the unmanned aerial vehicle; the server communication circuit comprises a server communication sub-circuit which is respectively connected with the vehicle communication circuit and the unmanned aerial vehicle communication circuit and is used for sending the identification information of the shared traffic tool which does not acquire the positioning information to the unmanned aerial vehicle communication circuit;
a rule storage circuit for storing an identification rule of the shared vehicle;
and the judging circuit is respectively connected with the acquisition circuit and the rule storage circuit and is used for comparing the data information acquired by the acquisition circuit with the identification rule to judge whether the shared traffic tool is in a normal operation state.
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Families Citing this family (5)
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CN106652542A (en) * | 2017-02-21 | 2017-05-10 | 上海量明科技发展有限公司 | Method for detecting condition of sharing vehicle, unmanned aerial vehicle and system |
CN107256429A (en) * | 2017-05-31 | 2017-10-17 | 天津鹿鼎科技有限公司 | A kind of vehicle maintenance method and device |
CN107610459A (en) * | 2017-09-23 | 2018-01-19 | 南京律智诚专利技术开发有限公司 | A kind of shared bicycle anti-theft theft system based on unmanned plane |
CN107833460A (en) * | 2017-11-01 | 2018-03-23 | 吴伟峰 | A kind of shared vehicle damage monitoring system and its method |
CN108492569A (en) * | 2018-05-02 | 2018-09-04 | 苏州诺登德智能科技有限公司 | A kind of traffic Tracing Control system based on unmanned plane |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2014089153A (en) * | 2012-10-31 | 2014-05-15 | Nomura Research Institute Ltd | Navigation server, navigation device, navigation system, route search method, navigation method and computer program |
CN105180902A (en) * | 2015-03-10 | 2015-12-23 | 无锡桑尼安科技有限公司 | Unmanned aerial vehicle (UAV) detection equipment for identifying urban roads |
CN105527975A (en) * | 2015-12-09 | 2016-04-27 | 周润华 | Target tracking system based on UAV |
CN205264074U (en) * | 2015-10-29 | 2016-05-25 | 武汉万集信息技术有限公司 | Backward seek car system based on unmanned aerial vehicle |
CN105632236A (en) * | 2016-03-14 | 2016-06-01 | 南京邮电大学 | Community parking space management and guidance system and method based on unmanned aerial vehicle and cloud computing technology |
CN205451514U (en) * | 2016-01-27 | 2016-08-10 | 王德龙 | Car real -time road conditions over --horizon radar of navigation and network alarm system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10867277B2 (en) * | 2015-07-08 | 2020-12-15 | Ebay Inc. | Public transport infrastructure facilitated drone delivery |
-
2017
- 2017-01-22 CN CN201710053091.9A patent/CN106652457B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2014089153A (en) * | 2012-10-31 | 2014-05-15 | Nomura Research Institute Ltd | Navigation server, navigation device, navigation system, route search method, navigation method and computer program |
CN105180902A (en) * | 2015-03-10 | 2015-12-23 | 无锡桑尼安科技有限公司 | Unmanned aerial vehicle (UAV) detection equipment for identifying urban roads |
CN205264074U (en) * | 2015-10-29 | 2016-05-25 | 武汉万集信息技术有限公司 | Backward seek car system based on unmanned aerial vehicle |
CN105527975A (en) * | 2015-12-09 | 2016-04-27 | 周润华 | Target tracking system based on UAV |
CN205451514U (en) * | 2016-01-27 | 2016-08-10 | 王德龙 | Car real -time road conditions over --horizon radar of navigation and network alarm system |
CN105632236A (en) * | 2016-03-14 | 2016-06-01 | 南京邮电大学 | Community parking space management and guidance system and method based on unmanned aerial vehicle and cloud computing technology |
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