CN112532870A - Multi-terminal self-adaptive data processing method and system - Google Patents

Multi-terminal self-adaptive data processing method and system Download PDF

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CN112532870A
CN112532870A CN202011238291.XA CN202011238291A CN112532870A CN 112532870 A CN112532870 A CN 112532870A CN 202011238291 A CN202011238291 A CN 202011238291A CN 112532870 A CN112532870 A CN 112532870A
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image
data processing
edge
edge processor
terminal
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CN112532870B (en
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肖志勇
方丽金
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Fujian Furuikang Information Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • H04N23/61Control of cameras or camera modules based on recognised objects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80Camera processing pipelines; Components thereof
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/181Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources

Abstract

The invention provides a multi-terminal self-adaptive data processing method and a multi-terminal self-adaptive data processing system. The data processing system comprises a plurality of data acquisition terminals, wherein each data acquisition terminal comprises an image memory, an edge processor and a plurality of miniature image sensors with different resolutions; the edge processor is also provided with a broadcasting antenna, broadcasts the image data processing result to the edge processors of other data acquisition terminals by the edge processor through the broadcasting antenna, and receives the image data processing result broadcasted by the broadcasting antenna configured by the respective edge processor by the other data acquisition terminals; based on the image data processing result, the edge processor controls the enabling state of the plurality of micro image sensors with different resolutions. The invention also discloses a multi-terminal self-adaptive data processing method based on the system. According to the technical scheme, the data related to the specific target can be cooperatively acquired by utilizing the multi-terminal equipment.

Description

Multi-terminal self-adaptive data processing method and system
Technical Field
The invention belongs to the technical field of automatic data acquisition and processing, and particularly relates to a multi-terminal self-adaptive data processing system and method and a computer readable storage medium for realizing the method.
Background
In the era of internet and internet of things, users have a constantly changing demand for data acquisition, and gradually acquire a large amount of data through a plurality of sensors in the changing space and time dimensions, so that target objects are sought to be found. For example, crime scene pursuits or post-case tracking; the method comprises the steps of identification of specific target buildings in a large range, people summary report of illegal building patrol and large-scale gathering occasions, real-time report of champions on large-scale sports meeting sites and the like.
In the above scenario, in the prior art, multiple acquisition terminals are generally required to be randomly distributed at a position where a target object may appear, and then data is summarized for analysis. The process not only wastes manpower, but also needs to configure a large number of hardware terminals, and in fact, the target object can only appear at a certain specific position or position, so that hardware, manpower and material resources arranged at other positions are wasted in fact, and cannot concentrate dominant resources.
European patent EP3411265 discloses a detection method and system in a data collection environment with large data sets in the internet of things of industry, the system comprising a data collector communicatively connected to a plurality of input channels and a network architecture; wherein the data collector performs data collection based on the selected data collection routine; the system also includes a data store structured to store a plurality of collector routines and collected data, a data collection circuit structured to interpret a plurality of sensed values from the collected data, a data collection circuit structured to analyze the collected data and determine an aggregate rate of data collected from the plurality of input channels; the data analysis circuit alters data collection to reduce the amount of data collected if the aggregation rate exceeds the throughput parameter of the network architecture.
In order to be able to acquire data in a wide range, unmanned aerial vehicle cruising is a trend. Corresponding data acquisition terminal of configuration on an unmanned aerial vehicle, under the condition of known data acquisition scope, through control unmanned aerial vehicle motion, can be convenient nimble acquire a large amount of required data, including image data etc..
However, if the data acquisition range cannot be known by the implementation, the single unmanned aerial vehicle has no slave control. More times, a large number of data acquisition terminals (such as domestic skynet monitoring systems and public security monitoring systems) need to be configured extensively (more blindly), which greatly increases the data acquisition cost.
Disclosure of Invention
In order to solve the technical problem, the invention provides a multi-terminal adaptive data processing method and a multi-terminal adaptive data processing system. The data processing system comprises a plurality of data acquisition terminals, wherein each data acquisition terminal comprises an image memory, an edge processor and a plurality of miniature image sensors with different resolutions; the edge processor is also provided with a broadcasting antenna, broadcasts the image data processing result to the edge processors of other data acquisition terminals by the edge processor through the broadcasting antenna, and receives the image data processing result broadcasted by the broadcasting antenna configured by the respective edge processor by the other data acquisition terminals; based on the image data processing result, the edge processor controls the enabling state of the plurality of micro image sensors with different resolutions.
The invention also discloses a multi-terminal self-adaptive data processing method based on the system.
According to the technical scheme, the data related to the specific target can be cooperatively acquired by utilizing the multi-terminal equipment.
Specifically, in a first aspect of the invention, a multi-terminal adaptive data processing system is provided, the data processing system comprising a plurality of data acquisition terminals, the plurality of data acquisition terminals communicating with a centralized control platform through data transmission middleware.
As one of the advantages of the invention, each data acquisition terminal comprises an image memory, an edge processor and a plurality of miniature image sensors with different resolutions;
the image memory is used for storing the image data acquired by the miniature image sensor;
at least one image processing model is arranged in the edge processor, and the image data stored by the image processor is processed by adopting the image processing model;
the edge processor is also provided with a broadcasting antenna, broadcasts the image data processing result to the edge processors of other data acquisition terminals by the edge processor through the broadcasting antenna, and receives the image data processing result broadcasted by the broadcasting antenna configured by the respective edge processor by the other data acquisition terminals;
based on the image data processing result, the edge processor controls the enabling state of the plurality of micro image sensors with different resolutions.
The image data processing result comprises: whether at least one target object is identified, whether the resolution of the miniature image sensor in the current on state is the highest level, and the current position of the data acquisition terminal.
In the present invention, the enable state of the micro image sensor refers to the off and on states of the micro image sensor.
Preferably, the plurality of micro image sensors with different resolutions comprise a first resolution camera, a second resolution camera, a third resolution camera and a fourth resolution camera with resolutions sequentially increased;
wherein at the same time, only one camera is in an on state, and in an initial state, the first resolution camera is turned on.
In the invention, the resolution ratio is sequentially increased, also called as micro image sensors of different levels, and the higher the resolution ratio is, the higher the level is.
The edge processor is internally provided with at least one image processing model, and the image processing model is adopted to process the image data stored by the image processor, and the method specifically comprises the following steps:
acquiring a plurality of image frames continuously changing with time through the image data;
and carrying out target object identification based on the plurality of image frames by adopting a built-in image processing model.
The technical scheme of the invention can be applied to real-time tracking of the scene of a specific target person, such as pursuit in a crime scene or after-case tracking; but also to the identification of specific target buildings within a specific area, such as illegal building inspection, etc.; of course, the invention can also be used for people summary reports in large-scale meeting occasions, such as the real-time reports of champions in large-scale sports meeting sites.
It has been mentioned in the foregoing that at the same time only one camera is in an on state and in an initial state, the first resolution camera is turned on.
This is because the accuracy required for tracking for different purposes and the recognition algorithm are different, and the hardware condition (resolution) is not necessarily adopted.
In one scenario, the controlling, by the edge processor, the enable states of the plurality of micro image sensors with different resolutions based on the image data processing result specifically includes:
if at least one target object is identified, the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level, if not, the miniature image sensor in the current starting state is closed, and the miniature image sensor in the next high level is opened.
In another aspect of the invention, a multi-terminal adaptive data processing method is provided, which is based on N controllable aircraft terminals, each controllable aircraft including an image memory, an edge processor and a plurality of micro image sensors with different resolutions, and the method realizes adaptive data acquisition; the edge processor is further configured with a broadcast antenna, characterized in that: the method comprises the following steps:
s100: after the micro image sensor with the lowest resolution in each controllable aircraft terminal is started, controlling the N controllable aircraft to move along tracks in different directions;
s200: the image memory of each controllable aircraft sends the image data acquired by the miniature image sensor to the edge processor of the image memory according to a preset period;
s300: the edge processor determining whether at least one target object is identified from the image data;
if yes, go to step S400;
otherwise, returning to the step S200;
s400: the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level or not, and if so, the identification result is broadcasted through a broadcast antenna;
if not, the current micro image sensor in the starting state is closed, the next high-level micro image sensor is started, and the step S200 is returned;
s500: and other edge processors change the flight track of the edge processors after receiving the identification result broadcasted by the broadcasting antenna.
The method of the invention can be realized in the form of computer program instructions on the remote terminal equipment after the collected data and the execution processing are communicated with the centralized control platform based on the data transmission middleware. Thus, in a third aspect of the present invention, a computer-readable storage medium is provided, having stored thereon computer-executable program instructions, which are executable by a processor for carrying out the aforementioned method steps S100-S500.
Further advantages of the invention will be apparent in the detailed description section in conjunction with the drawings attached hereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a general schematic diagram of a multi-terminal adaptive data processing system according to an embodiment of the present invention
FIG. 2 is a schematic diagram of the system of FIG. 1 switching from an initial state
FIG. 3 is a schematic diagram of the operation of the system of FIG. 1 to implement enable state control
FIG. 4 is a schematic diagram of an embodiment of a multi-terminal adaptive data processing method implemented based on the system of FIG. 1
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Referring to fig. 1, an overall schematic diagram of a multi-terminal adaptive data processing system according to an embodiment of the present invention is shown.
In fig. 1, the data processing system includes a plurality of data acquisition terminals, which communicate with a centralized control platform through data transmission middleware.
In this embodiment, the data transfer middleware used is a middleware dedicated to communications with the multi-source terminal, and includes a data summarization, grouping, and normalization engine.
The data summarization refers to a module for receiving, summarizing and storing different types of data collected by a plurality of multi-source data collection node groups by the middleware;
the data grouping module is used for grouping the data stored by the data summarizing module according to categories.
In fig. 1, the corresponding multi-source data acquisition node group is the data acquisition terminal, and the data acquisition node group included therein is a plurality of micro image sensors with different resolutions.
In fig. 1, the plurality of micro image sensors with different resolutions schematically representing each data acquisition terminal includes a first resolution camera, a second resolution camera, a third resolution camera, and a fourth resolution camera, whose resolutions increase in sequence.
As one of the core technical means of the invention, each data acquisition terminal comprises an image memory and an edge processor.
In the present embodiment, the edge processor is a processor unit capable of performing edge calculation.
The edge calculation is realized by utilizing edge zone resources close to a data source, focuses on the analysis of real-time and short-period data, and can better support the real-time intelligent processing and execution of local services; edge computing enables filtering and analysis of data at edge nodes and is therefore more efficient.
The image memory is used for storing the image data acquired by the miniature image sensor;
at least one image processing model is arranged in the edge processor, and the image data stored by the image processor is processed by adopting the image processing model;
the edge processor is also provided with a broadcasting antenna, broadcasts the image data processing result to the edge processors of other data acquisition terminals by the edge processor through the broadcasting antenna, and receives the image data processing result broadcasted by the broadcasting antenna configured by the respective edge processor by the other data acquisition terminals;
based on the image data processing result, the edge processor controls the enabling state of the plurality of micro image sensors with different resolutions.
In fig. 1, only one camera is in an on state at the same time, and in an initial state, the first-resolution camera is turned on.
See, more particularly, fig. 2.
In an initial state, starting the first resolution camera, namely the camera with the lowest resolution;
the image memory stores first image data acquired by the miniature image sensor and sends the first image data to the edge processor in a preset period;
the edge processor processes the first image data through the broadcast antenna broadcast, and specifically includes:
acquiring a plurality of image frames continuously changing with time through the first image data;
and carrying out target object identification based on the plurality of image frames by adopting a built-in image processing model.
If at least one target object is identified, the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level, if not, the miniature image sensor in the current starting state is closed, and the miniature image sensor in the next high level is opened.
Obviously, in the embodiment shown in fig. 2, since the camera with the first resolution that is turned on in the initial state is the camera with the lowest resolution, the camera with the second resolution needs to be turned on at this time.
Reference is next made to fig. 3.
The image memory stores first image data acquired by the micro image sensor and sends the first image data to the edge processor in a preset period.
The image processor deletes the first image data after the edge processor broadcasts a result of processing the first image data through the broadcasting antenna.
More specifically, the image data processing result includes: whether at least one target object is identified, whether the resolution of the miniature image sensor in the current on state is the highest level, and the current position of the data acquisition terminal.
As a specific implementation manner, the data acquisition terminal is a controllable aircraft;
the data acquisition terminal changes the flight track of the data acquisition terminal based on the image data processing result received by the edge processor of the data acquisition terminal and broadcasted by the broadcast antenna configured by the edge processor of the data acquisition terminal.
Taking the data acquisition terminal as a controllable aircraft terminal as an example, in the above embodiment, the edge processor determines whether the resolution of the miniature image sensor currently in the on state is the highest level, and if so, broadcasts the identification result through a broadcast antenna;
if not, the micro image sensor in the current starting state is closed, and the micro image sensor in the next high-level is started.
Fig. 4 is an embodiment of a specific data processing method in which the data acquisition terminal is a controllable aircraft terminal.
In the embodiment illustrated in fig. 4, the controllable aircraft terminal is also plural (i.e., N > 2). Each controllable aerial vehicle comprises an image memory, an edge processor and a plurality of miniature image sensors with different resolutions; the edge processor is also configured with a broadcast antenna.
The method comprises the following steps:
s100: after the micro image sensor with the lowest resolution in each controllable aircraft terminal is started, controlling the N controllable aircraft to move along tracks in different directions;
s200: the image memory of each controllable aircraft sends the image data acquired by the miniature image sensor to the edge processor of the image memory according to a preset period;
s300: the edge processor determining whether at least one target object is identified from the image data;
if yes, go to step S400;
otherwise, returning to the step S200;
s400: the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level or not, and if so, the identification result is broadcasted through a broadcast antenna;
if not, the current micro image sensor in the starting state is closed, the next high-level micro image sensor is started, and the step S200 is returned;
s500: and other edge processors change the flight track of the edge processors after receiving the identification result broadcasted by the broadcasting antenna.
More specifically, the identification result in step S400 includes identifying the current position of the controllable aircraft of at least one target object;
in step S500, the other edge processors change their own flight trajectories, specifically, the other edge processors send trajectory change instructions to control the controllable aircraft where they are located to approach the current position.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A multi-terminal self-adaptive data processing system comprises a plurality of data acquisition terminals, wherein the data acquisition terminals are communicated with a centralized control platform through data transmission middleware;
the method is characterized in that:
each data acquisition terminal comprises an image memory, an edge processor and a plurality of miniature image sensors with different resolutions;
the image memory is used for storing the image data acquired by the miniature image sensor;
at least one image processing model is arranged in the edge processor, and the image data stored by the image processor is processed by adopting the image processing model;
the edge processor is also provided with a broadcasting antenna, broadcasts the image data processing result to the edge processors of other data acquisition terminals by the edge processor through the broadcasting antenna, and receives the image data processing result broadcasted by the broadcasting antenna configured by the respective edge processor by the other data acquisition terminals;
based on the image data processing result, the edge processor controls the enabling state of the plurality of micro image sensors with different resolutions.
2. A multi-terminal adaptive data processing system according to claim 1, characterized by:
the plurality of miniature image sensors with different resolutions comprise a first resolution camera, a second resolution camera, a third resolution camera and a fourth resolution camera, wherein the resolutions of the first resolution camera, the second resolution camera, the third resolution camera and the fourth resolution camera are sequentially increased;
wherein at the same time, only one camera is in an on state, and in an initial state, the first resolution camera is turned on.
3. A multi-terminal adaptive data processing system according to claim 1, characterized by:
the image memory stores first image data acquired by the micro image sensor, and sends the first image data to the edge processor at a preset period, and after the edge processor broadcasts a result of processing the first image data through the broadcasting antenna, the image processor deletes the first image data.
4. A multi-terminal adaptive data processing system according to claim 3, characterized by: the edge processor processes the first image data through the broadcast antenna broadcast, and specifically includes:
acquiring a plurality of image frames continuously changing with time through the first image data;
and carrying out target object identification based on the plurality of image frames by adopting a built-in image processing model.
5. A multi-terminal adaptive data processing system according to claim 4, characterized by: the controlling, by the edge processor, the enable states of the plurality of micro image sensors with different resolutions based on the image data processing result specifically includes:
if at least one target object is identified, the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level, if not, the miniature image sensor in the current starting state is closed, and the miniature image sensor in the next high level is opened.
6. A multi-terminal adaptive data processing system according to claim 4, characterized by:
the image data processing result comprises: whether at least one target object is identified, whether the resolution of the miniature image sensor in the current on state is the highest level, and the current position of the data acquisition terminal.
7. A multi-terminal adaptive data processing system according to claim 4 or 6, characterized by:
the data acquisition terminal is a controllable aircraft;
the data acquisition terminal changes the flight track of the data acquisition terminal based on the image data processing result received by the edge processor of the data acquisition terminal and broadcasted by the broadcast antenna configured by the edge processor of the data acquisition terminal.
8. A multi-terminal adaptive data processing method is disclosed, the method is based on N controllable aircraft terminals to realize adaptive data acquisition, each controllable aircraft comprises an image memory, an edge processor and a plurality of micro image sensors with different resolutions; the edge processor is further configured with a broadcast antenna, characterized in that: the method comprises the following steps:
s100: after the micro image sensor with the lowest resolution in each controllable aircraft terminal is started, controlling the N controllable aircraft to move along tracks in different directions;
s200: the image memory of each controllable aircraft sends the image data acquired by the miniature image sensor to the edge processor of the image memory according to a preset period;
s300: the edge processor determining whether at least one target object is identified from the image data;
if yes, go to step S400;
otherwise, returning to the step S200;
s400: the edge processor judges whether the resolution of the miniature image sensor in the current starting state is the highest level or not, and if so, the identification result is broadcasted through a broadcast antenna;
if not, the current micro image sensor in the starting state is closed, the next high-level micro image sensor is started, and the step S200 is returned;
s500: and other edge processors change the flight track of the edge processors after receiving the identification result broadcasted by the broadcasting antenna.
9. The method of claim 8, wherein:
the identification result in step S400 includes identifying a current position of the controllable aircraft of at least one target object;
in step S500, the other edge processors change their own flight trajectories, specifically, the other edge processors send trajectory change instructions to control the controllable aircraft where they are located to approach the current position.
10. A computer-readable storage medium having stored thereon computer-executable program instructions, the program instructions being executable by a processor for implementing the method of any one of claims 8 or 9.
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