CN210721462U - Dynamic data acquisition and analysis system based on cloud control - Google Patents
Dynamic data acquisition and analysis system based on cloud control Download PDFInfo
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- CN210721462U CN210721462U CN201921250930.7U CN201921250930U CN210721462U CN 210721462 U CN210721462 U CN 210721462U CN 201921250930 U CN201921250930 U CN 201921250930U CN 210721462 U CN210721462 U CN 210721462U
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Abstract
The utility model provides a dynamic data acquisition and analysis system based on high in clouds control, include: the camera is arranged on the vehicle and used for acquiring image data around the vehicle in real time or in a preset time period; the at least one bee-eye device is arranged on a vehicle provided with the camera, is in communication connection with the camera on the same vehicle, and is used for carrying out feature recognition on image data acquired by the camera; the cloud end is in communication connection with all the bee-eye devices and is used for receiving processed image data uploaded by the bee-eye devices of any vehicle, so that the image data can be compared and analyzed based on a preset database. Based on the utility model provides a scheme can collect more fixed points to vehicle and pedestrian and shoot the data that can not arrive, more is favorable to assisting traffic police to road surface road conditions data collection, the management vehicle that becomes more meticulous.
Description
Technical Field
The utility model relates to a data analysis field especially relates to a dynamic data acquisition analytic system based on high in clouds control.
Background
Along with the rapid development of society, private car demand is getting bigger and bigger, and road surface vehicle sharply increases for passerby causes very big puzzlement when walking on the road, and the traffic accident rate also increases correspondingly, makes passerby block on the road and therefore the latency is lengthened, further causes the threat of life and property safety to people. In addition, since only the road environment in front of the eyes can be seen when the driver drives the vehicle to walk on the road, various information of the road nearby the driver, including other vehicle information, the number of pedestrians on the road, whether garbage or articles fall on the road, and the like, cannot be known immediately.
Although information is also provided on the road for passers-by to use, such as a camera, the camera is usually shot at a fixed point, the shooting range is quite limited, and the shot image is easy to have a fault, which is not beneficial to tracking and positioning, and dynamic shooting of the whole area cannot be achieved, so that the information cannot be completely collected and further analyzed and utilized.
Therefore, how to provide a system capable of collecting road information in real time has become an urgent problem to be solved.
SUMMERY OF THE UTILITY MODEL
In view of the above, the present invention provides a dynamic data collection and analysis system based on cloud control, which overcomes or at least partially solves the above problems.
According to the utility model discloses an aspect provides a dynamic data acquisition analytic system based on high in clouds control, a serial communication port, include:
the camera is arranged on the vehicle and used for acquiring image data around the vehicle in real time or in a preset time period;
the at least one bee-eye device is arranged on a vehicle provided with the camera, is in communication connection with the camera on the same vehicle, and is used for carrying out feature recognition on image data acquired by the camera;
the cloud end is in communication connection with all the bee-eye devices and is used for receiving processed image data uploaded by the bee-eye devices of any vehicle, so that the image data can be compared and analyzed based on a preset database.
Optionally, the bee-eye device is further configured to identify the flatness of the road image, the density of the roadside pedestrian image, the cleanliness of the road image, the vehicle model and/or the license plate number of the surrounding vehicle based on the image data acquired by the camera by using a preset algorithm, and upload the image data and the identification result to the cloud;
the preset algorithm comprises a vehicle recognition algorithm, a face recognition algorithm, a floor cleaning recognition algorithm and/or a surrounding environment recognition algorithm.
Optionally, the method further comprises: a broadcast system disposed on the vehicle;
the cloud is further used for verifying the image data after the processed image data uploaded by the bee-eye device of any vehicle is received; after the characteristic recognition result of the bee-eye equipment is determined to be correct, comparing and analyzing the characteristic recognition result with a preset database so as to put propagation information matched with the image data into the vehicle;
and the broadcasting system is used for receiving and broadcasting the propagation information released by the cloud.
Optionally, the broadcasting system includes:
the display screen is used for receiving and broadcasting the image, video and/or text information in the spreading information released by the cloud;
and the audio player is used for receiving and broadcasting the audio information in the propagation information released by the cloud.
Optionally, the location where the bee-eye device is located includes the top, bottom and/or under the seat of the vehicle.
Optionally, the camera is provided at a front, rear and/or side position of the vehicle.
Optionally, the bee-eye device is electrically connected to the vehicle through a reserved external interface, a USB interface, a cigarette lighter interface, or an internal unreserved interface of the vehicle.
Optionally, the bee-eye device is connected to the cloud terminal through a wireless network or a wired network.
Optionally, the wireless network includes a wireless network provided by an internet of things card or a full network card of the mobile terminal.
Optionally, the bee-eye device is further configured to receive a control instruction issued by the cloud, and perform shutdown, restart, photographing and/or video recording in response to the control instruction.
The utility model provides a dynamic data acquisition analytic system based on high in clouds control, through installing camera and the bee-eye equipment on the vehicle, carry out dynamic collection information and analysis to people, thing, road surface, license plate, motorcycle type and different environment of difference, be convenient for in time provide the passerby with the information of conveying after the high in clouds comparison analysis for the passerby can plan or change the route of advancing ahead of time according to instant message, in order to avoid taking place danger, perhaps avoid crowded road.
The above description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented according to the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more obvious and understandable, the following detailed description of the present invention is given.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic structural diagram of a dynamic data collection and analysis system based on cloud control according to an embodiment of the present invention;
FIG. 2 shows a schematic view of a vehicle mounted according to an embodiment of the invention;
fig. 3 shows a schematic structural diagram of a dynamic data collection and analysis system based on cloud control according to another embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 shows a dynamic data collection and analysis system 100 based on cloud 130 control according to an embodiment of the present invention, and referring to fig. 1, the system 100 may include: the camera 110 is arranged on the vehicle and used for acquiring image data around the vehicle in real time or in a preset time period; at least one bee-eye device 120, which is arranged on a vehicle equipped with the camera 110, is in communication connection with the camera 110 on the same vehicle, and is used for performing feature recognition on image data acquired by the camera 110; and the cloud end 130 is in communication connection with all the cellular devices 120 and is used for receiving the processed image data uploaded by the cellular devices 120 of any vehicle so as to compare and analyze the image data based on a preset database. The camera 110 and the bee-eye device 120 shown in the system are three groups, and a plurality of cameras can be arranged in practical application, without limitation.
The locations where the bee-eye devices 120 are located include the top, bottom, and/or under the seats of the vehicle. The camera 110 is disposed at a front, rear, and/or side position of the vehicle. The position of the camera 110 and the bee-eye device 120 on the vehicle is shown in fig. 2. The cellular device 120 may be electrically connected to the vehicle via a reserved external interface, a USB interface, a cigarette lighter interface, or an internal non-reserved interface of the vehicle. The cellular device 120 is connected to the cloud 130 through a wireless network or a wired network, and the wireless network includes a wireless network provided by an internet of things card or a full-network card of the mobile terminal.
When the image data around the vehicle is collected based on the camera 110, the image data can be collected in real time or at a preset time period. The image data may be image data and/or video data of the vehicle surroundings. When the camera 110 performs data collection specifically, data collection may be performed when a preset collection condition is detected to be triggered, where the preset collection condition may be that a vehicle is detected to start, the vehicle runs to a specified area or a specified road section, or a collection action of image data is triggered after a certain time of vehicle running is detected. In addition, the control command from the cloud 130 may be received, and then the image data around the vehicle may be collected in real time or in a preset time period by using the cellular device 120 installed on any vehicle according to the control command. That is to say, the cloud 130 may also issue a control command to the cellular device 120 of any vehicle, and further collect image data around the cellular device 120 of the vehicle. Of course, in practical applications, the cellular device 120 on any vehicle may be triggered to collect image data around the vehicle through other conditions, which is not described herein.
The embodiment of the present invention provides an image data collected by the camera 110, which can include the model of the surrounding vehicle, the license plate number of the vehicle, the current longitude and latitude and time, the road image, the roadside pedestrian shadow, and so on.
Optionally, the bee-eye device 120 is further configured to identify the flatness of the road image, the density of the roadside pedestrian image, the cleanliness of the road image, the vehicle model and/or the license plate number of the surrounding vehicle based on the image data collected by the camera 110 by using a preset algorithm, and upload the image data and the identification result to the cloud 130; the preset algorithm includes a vehicle recognition algorithm, a face recognition algorithm, a floor cleaning recognition algorithm, and/or an ambient environment recognition algorithm. Performing feature recognition on the image data acquired by the camera 110 through a vehicle recognition algorithm to obtain the image data including the vehicle model and/or the license plate number; performing feature recognition on the image data acquired by the camera 110 through a ground cleaning recognition algorithm to obtain the cleanliness of the road surface image in the image data; and/or performing feature recognition on the image data acquired by the camera 110 through a face recognition algorithm to acquire the density of the roadside pedestrians in the image data. In addition to the above description, there may be other recognition algorithms to recognize the feature data in the image data, and the present invention is not limited thereto. The feature recognition mode is to perform calculation locally on the cellular device 120, and recognition is performed through a picture recognition mode or a video frame extraction mode, and all recognition results are recorded synchronously in terms of longitude, latitude and time points. The bee-eye device 120 may have a processor integrated therein to perform the above-described feature recognition process.
Optionally, the data interaction is carried out to full net expert card and high in the clouds 130 of bee-eye equipment 120 accessible thing networking card, normal cell-phone internet access, equipment can follow the vehicle and start, follow the vehicle and shut down, also can set up to start all the day (can also directly use the vehicle storage battery when the vehicle stalls), software work is intelligent completely in the equipment, carry out data acquisition under the condition of unmanned intervention, and equipment possesses the remote control operation (remote transmission is shut down, restart, shoot, record instructions such as video), can not increase the human cost and go to maintain.
In addition to the above description, the cloud computing system is further configured to receive a control instruction issued by the cloud 130, and perform shutdown, restart, photographing and/or video recording in response to the control instruction, and even live broadcast of the current road surface state in real time in a video mode.
Referring to fig. 3, the system 100 provided in this embodiment may further include: the broadcast system 140 is disposed on the vehicle and can be in communication with the cloud end 130 via the cellular device 120, or directly in communication with the cloud end 130. The cloud 130 is further configured to verify the image data after receiving the processed image data uploaded by the cellular device 120 of any vehicle; after the feature recognition result of the bee-eye device 120 is determined to be correct, the comparison analysis is performed with a preset database, so that the propagation information matched with the image data is released to the vehicle; and the broadcasting system 140 is configured to receive and broadcast the propagation information delivered by the cloud 130.
For a set of image data, assuming that the feature data identified by the bee-eye device 120 is the first feature data, the process of verifying the first feature data by the cloud 130 may include:
s1, after receiving and storing the data packet uploaded by the cellular device 120 of any vehicle, identifying second characteristic data of the image data in the data packet;
and S2, verifying the first characteristic data by using the second characteristic data, comparing and analyzing the verified data with data in a preset database, generating transmission information matched with the image data for the vehicle, and then delivering the transmission information to the vehicle. When the first feature data and the second feature data are compared and analyzed, the method may include:
s2-1, calculating the similarity of the first characteristic data and the second characteristic data; specifically, a calculation method of the similarity can be selected according to the type of the feature data, and if the feature data is image information, feature comparison can be performed to calculate the similarity of the feature data and the image information; if the feature data is digital information, the two groups of numbers are compared in sequence to judge whether the two groups of numbers are consistent or not.
S2-2, when the similarity of the first characteristic data and the second characteristic data is within a preset range, confirming that the identification of the bee-eye equipment 120 is correct, and performing comparison analysis by using the first characteristic data or the second characteristic data and data in a preset database to release the propagation information matched with the image data to the vehicle;
and S2-3, when the similarity of the first characteristic data and the second characteristic data exceeds a preset range, correcting the first characteristic data by using the second characteristic data, and performing comparison analysis on the second characteristic data and data in a preset database to release the propagation information matched with the image data to the vehicle. This preset scope sets up according to the type of characteristic data or different application scene and actual demand, the utility model discloses do not restrict.
After the cloud 130 confirms the feature data, when the feature data identified by the base image data is a license plate number, comparing the license plate number with preset license plate numbers of a plurality of known vehicle owners collected in a preset database in advance; identifying owner information corresponding to the license plate number, and acquiring an owner image of the owner information; and generating the propagation information matched with the interest point of the vehicle owner based on the vehicle owner portrait, and delivering the propagation information to the vehicle. The broadcast information may be advertising information, public service information, or other promotional information.
Alternatively, as shown in fig. 3, the announcement system 140 may include: the display screen 141 is used for receiving and broadcasting the image, video and/or text information in the propagation information delivered by the cloud 130; and the audio player 142 is configured to receive and broadcast audio information in the broadcast information delivered by the cloud 130.
For example, if the feature data is the license plate number data: then, the interaction can be carried out according to the license plate number and the third-party data, the owner information is judged, the figure portrait of the owner is obtained, for example, the insurance of the owner is soon to expire, the advertisement data can be extracted at the advertisement cloud end 130 according to big data operation, the advertisement content of the optimal insurance scheme matched with the owner is obtained, then the advertisement is issued to the advertisement issuing system 100, the advertisement cloud equipment end is issued by the advertisement issuing system 100 in time, then the equipment end is projected out at the rear window of the vehicle in time, the owner can see the advertisement in time, and the purpose that the advertisement type is very accurate according to the figure of the owner is achieved. In addition, if the vehicle type data is obtained, the cloud 130 can automatically go to the advertisement database according to the vehicle type to match the advertisement related to the vehicle type, and the cloud 130 can timely push the advertisement delivery system 100 to deliver the advertisement after the matching is successful. If the data is traffic data, the cloud 130 can automatically match the traffic advertisement according to the traffic intensive procedure.
In addition, the cloud 130 may further be provided with a visual screen, and the main displayed content of the visual screen may include:
1. the license plate number, time and address display are identified, and the information such as the place, time, scene, picture and video playback of the vehicle can be searched and inquired through the license plate number;
2. appointing any one of the bee-eye devices 120 to perform instruction operation on line, such as shutdown, restart, photographing, live broadcasting and other functions;
3. displaying a people flow density map, displaying roads with most garbage and other information;
4. and (4) identifying data statistics, wherein the total amount of various data (license plate, vehicle type, people flow, road cleaning and the like) identified by the cloud 130 so far, problems identified every day, every month and every year, and the like are counted.
The embodiment of the utility model provides a dynamic data acquisition analytic system based on high in clouds control through installing camera and the bee-eye equipment on the vehicle, carries out dynamic collection information and analysis to people, thing, road surface, license plate, motorcycle type and different environment of difference, is convenient for in time provide the passerby with the information that conveys behind the high in clouds comparison analysis for the passerby can plan ahead of time or change the route of marcing according to instant message, in order to avoid taking place danger, perhaps avoids crowded road. Furthermore, compare in the camera that uses the fixed point photography among the prior art, the utility model discloses a bee eye equipment possesses characteristics such as small, low power dissipation, can not cause any influence to the vehicle normal driving. Moreover, the bee-eye equipment can dynamically collect information, monitor, track and position in a large area, so that the collected information is more refined, and detailed instant information is further and accurately provided for a user.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: rather, the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been shown and described in detail herein, many other variations and modifications can be made, consistent with the principles of the invention, which are directly determined or derived from the disclosure herein, without departing from the spirit and scope of the invention. Accordingly, the scope of the present invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. The utility model provides a dynamic data acquisition analytic system based on high in clouds control which characterized in that includes:
the camera is arranged on the vehicle and used for acquiring image data around the vehicle in real time or in a preset time period;
the at least one bee-eye device is arranged on a vehicle provided with the camera, is in communication connection with the camera on the same vehicle, and is used for carrying out feature recognition on image data acquired by the camera;
the cloud end is in communication connection with all the bee-eye devices and is used for receiving processed image data uploaded by the bee-eye devices of any vehicle, so that the image data can be compared and analyzed based on a preset database.
2. The cloud control-based dynamic data acquisition and analysis system according to claim 1, wherein the cellular device is further configured to identify the flatness of the road surface image, the density of the roadside pedestrian image, the cleanliness of the road surface image, the vehicle models and/or the license plate numbers of surrounding vehicles based on the image data acquired by the camera by using a preset algorithm, and upload the image data and the identification result to the cloud;
the preset algorithm comprises a vehicle recognition algorithm, a face recognition algorithm, a floor cleaning recognition algorithm and/or a surrounding environment recognition algorithm.
3. The cloud-based control dynamic data collection and analysis system of claim 1, further comprising: a broadcast system disposed on the vehicle;
the cloud is further used for verifying the image data after the processed image data uploaded by the bee-eye device of any vehicle is received; after the characteristic recognition result of the bee-eye equipment is determined to be correct, comparing and analyzing the characteristic recognition result with a preset database so as to put propagation information matched with the image data into the vehicle;
and the broadcasting system is used for receiving and broadcasting the propagation information released by the cloud.
4. The dynamic data acquisition and analysis system based on cloud control as claimed in claim 3, wherein the broadcasting system comprises:
the display screen is used for receiving and broadcasting the image, video and/or text information in the spreading information released by the cloud;
and the audio player is used for receiving and broadcasting the audio information in the propagation information released by the cloud.
5. The cloud-based dynamic data collection and analysis system of claim 1, wherein the locations where said cellular devices are located include the top, bottom and/or under the seats of the vehicle.
6. The cloud control-based dynamic data collection and analysis system of claim 1, wherein the cameras are disposed in front, behind and/or to the side of the vehicle.
7. The cloud control-based dynamic data collection and analysis system of claim 1, wherein the cellular device is electrically connected to the vehicle through a reserved external interface, a USB interface, a cigarette lighter interface, or an internal unreserved interface of the vehicle.
8. The cloud-based control dynamic data collection and analysis system of claim 1, wherein the bee-eye device is connected to the cloud via a wireless network or a wired network.
9. The cloud control-based dynamic data collection and analysis system of claim 8, wherein the wireless network comprises a wireless network provided by an internet of things card or a full-network card of the mobile terminal.
10. The cloud-based dynamic data collection and analysis system of claim 1,
the bee-eye equipment is also used for receiving a control instruction issued by the cloud end and responding to the control instruction to perform shutdown, restart, photographing and/or video recording.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112231518A (en) * | 2020-12-10 | 2021-01-15 | 南京讯思雅信息科技有限公司 | Method, system, electronic device and storage medium for discovering network propagation behavior of works |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112231518A (en) * | 2020-12-10 | 2021-01-15 | 南京讯思雅信息科技有限公司 | Method, system, electronic device and storage medium for discovering network propagation behavior of works |
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