CN116582646A - Self-circulation monitoring system - Google Patents
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Abstract
The invention provides a self-circulation monitoring system, and relates to the technical field of electronic information. The self-circulation monitoring system comprises a video acquisition camera device, a video transmission end, a sub-item processing end, a primary phase verification unit, a transfer terminal, a verification port unit and a memory, wherein the video acquisition camera device comprises a shooting camera, a 5G communication transmission module, an image sensor, a processor and the memory, and the memory is used for storing image data acquired from the image sensor. According to the invention, the self-circulation operation of the monitoring system can be realized, one frame of image is read from the image sensor through the circulation execution module and written into the first image object to the second image object for image data matching, and the matching operation is continuously and circularly executed, so that the requirements of the processing capacity and the heat dissipation capacity of the ultra-high definition video monitoring equipment can be effectively reduced, the problems that the network resources and the storage space are occupied by the video data monitored by the camera are reduced, and the safety of data transmission is also improved.
Description
Technical Field
The invention relates to the technical field of electronic information, in particular to a self-circulation monitoring system.
Background
With the rapid development of related technologies such as image sensor technology, cloud computing technology, cloud storage technology and 5G technology, the manufacturing cost of equipment for shooting ultra-high definition videos is reduced, the equipment is more and more close to daily life of people, and particularly the 5G technology provides a high-bandwidth, high-concurrency, high-speed and low-delay high-speed data transmission channel for ultra-high definition video monitoring and provides a solid foundation for popularization and application of the ultra-high definition video monitoring.
Traditional video monitoring equipment is influenced by factors such as chip processing capacity, equipment storage space and network transmission capacity, video definition enters a bottleneck period after 1080P is reached, effective improvement cannot be achieved in a long period of time, and ultra-high-definition video monitoring equipment such as 4K, 5K and 8K can only be realized and applied in a small amount of high-cost building environments.
However, in order to realize ultra-high definition video monitoring by applying the conventional video encoding and decoding technology, a video encoding chip with strong processing capacity and ultra-large buffer space needs to be integrated on one side of the monitoring equipment, so that the manufacturing cost of the ultra-high definition video monitoring equipment is high, and the monitoring is also complicated to realize.
Accordingly, one skilled in the art would provide a self-circulation monitoring system to solve the above-mentioned problems.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a self-circulation monitoring system, which can divide the acquired camera monitoring video into a plurality of video content groups, a primary phase verification unit verifies each piece of received video information, intercepts abnormal video, marks all intercepted video as key video and returns the key video to a sub-item processing end, the sub-item processing end transmits the key video to a verification port unit through a transfer terminal for port verification, and after verification, a processor transmits the key video to a corresponding storage end through a mobile device for storage, so that the camera monitoring video data is filtered and deleted, the problem that network resources and storage space are occupied by the camera monitoring video data is reduced, and the safety of data transmission is also improved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the self-circulation monitoring system comprises a video acquisition camera device, a video transmission end, a sub-item processing end, a primary phase verification unit, a switching terminal, a verification port unit and a memory, wherein the video acquisition camera device comprises a shooting camera, a 5G communication transmission module, an image sensor, a processor and the memory, the memory is used for storing image data acquired from the image sensor, the image data is processed by the processor and then is transmitted to a monitoring program of remote equipment through the 5G communication transmission module, and the processor executes the monitoring program to realize the processing of the 5G ultra-high definition video monitoring data;
the video transmission end is used for acquiring the monitoring video shot by the shooting camera, dividing the acquired camera monitoring video into a plurality of video content groups, wherein each video content group comprises a plurality of pieces of video information;
the sub-item processing end is used for transmitting the video information to the initial phase verification unit after receiving the video information monitored by the camera;
the initial phase verification unit is used for verifying each piece of received video information, intercepting abnormal videos in the received video information, marking all the intercepted abnormal videos as key videos and transmitting the key videos back to the sub-item processing end;
the system comprises a transfer terminal and a verification port unit, wherein the key video is transmitted to the verification port unit through the transfer terminal by the sub-processing terminal, then port verification is carried out, after verification is passed, the processor transmits the key video to a corresponding storage terminal through the mobile device for storage, and the key video information is remotely transmitted to the remote device through the 5G communication transmission module;
the remote equipment can be a cloud server or a local server which is in remote communication connection with the camera device, and the remote equipment is operated with a corresponding decoding program for decoding and restoring the data transmitted by the camera device into complete images in video data.
Preferably, the dividing method of the video content group is as follows:
s1: acquiring single movement time T: if T is smaller than Td, marking the camera monitoring video corresponding to the single movement as a mobile video, taking the camera monitoring video corresponding to the single movement as a video content group, otherwise, entering S2;
s2: marking a robot monitoring video corresponding to a road section with V=0 and duration longer than Tc in single movement as a waiting video, and marking the rest as a moving video;
s3: according to the time sequence, the robot monitoring video from the single movement start to the first waiting video is divided into a video content group, each waiting video is divided into a video content group, the robot monitoring video between the two waiting videos is divided into a video content group, and the robot monitoring video from the waiting video to the single movement end is divided into a video content group;
wherein Td and Tc are preset values, V is a moving speed, and Tc is more than 2 minutes.
Preferably, the initial phase verification unit includes:
the variable definition module is used for defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array;
an image reading module for reading a frame of image from the image sensor and writing a first image object;
the key frame assignment module is used for storing the image data in the first image object into a key frame object and storing the image data in the second image object into a common frame object;
the image matching module is used for matching the image data of the first image object with the image data of the second image object;
the offset assignment module is used for writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into the common frame object array;
an image object assignment module for storing image data in the first image object to the second image object;
and the loop execution module is used for circularly executing the matching of the image data by reading one frame of image from the image sensor and writing the frame of image into the first image object and the second image object, and continuously circularly executing the matching operation.
Preferably, the variable definition module includes:
a first image object definition sub-module for defining a first image object inheriting from the image class for temporarily storing current frame image data read from the image sensor;
a second image object definition sub-module, configured to define a second image object, where the second image object inherits from the image class and is used to temporarily store the previous frame of image data;
a key frame object definition sub-module for defining a key frame object inherited from the image class for storing key frame image data;
the common frame object array definition sub-module is used for defining a common frame object array, and each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image serial number of the current frame image, the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array of the previous frame image.
Preferably, the algorithm of the port verification is as follows:
1) And respectively presetting a unique identification code for each mobile device and each storage end, wherein the unique identification code consists of 9-bit characters, and the unique identification codes of the corresponding mobile devices and storage ends are the same.
2) And acquiring the starting time and the ending time of each abnormal video according to the monitoring record of the mobile recorder, and marking the ending time as H2 and the starting time as H1.
3) A dynamic code D1 is calculated and,r is asNumber of abnormal videos in secondary movement, +.>Representation->Taking the value of the unit number;
the first character of the unique identification code is taken as a first sequence code, the D1 character is taken as a second sequence code from the first sequence code, the first sequence code and the second sequence code are sequentially combined to form a first key code.
4) The dynamic code D2 is calculated and,
and (3) taking the D2 character as a sequence code III from the first character of the unique identification code, and circulating to the D2 character as a sequence code IV from the sequence code together, wherein the sequence code III and the sequence code IV are sequentially combined to form a key code II.
5) If the sum of the second key and the first key is odd, the handshake key is the second key and the first key; if the sum of the key two and the key one is odd, the handshake key is key one+key two.
6) And the mobile equipment and the storage end respectively perform key number two and key number one operation, and if the handshake keys are the same, the verification passes.
7) And after the verification is passed, the key video is transmitted to a corresponding storage end through the mobile equipment for storage, and the key video is deleted according to the period.
Preferably, the video acquisition camera device further comprises a storage rule base and a management unit, wherein the storage rule base is internally provided with storage rules of the key videos, the storage rules comprise storage periods of the key videos, and the management unit is used for inputting or modifying preset values.
Preferably, a data processing method of a self-circulation monitoring system includes the following steps:
s1, shooting a monitoring video through a shooting camera to acquire the video;
s2, dividing the acquired camera monitoring video into a plurality of video content groups through a video transmitting end, and transmitting the video content groups to a sub-item processing end;
s3, after the sub-item processing end receives the video information monitored by the camera, the video information is transmitted to the initial phase verification unit;
s4, the initial phase verification unit verifies each piece of received video information and intercepts abnormal video in the video information;
s5, defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array in the initial phase verification unit;
s6, reading a frame of image from an image sensor and writing the frame of image into the first image object;
s7, storing the image data in the first image object to a key frame object;
s8, storing the image data in the second image object into a common frame object;
s9, matching the image data of the first image object with the image data of the second image object;
s10, writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into a common frame object array;
s11, storing the image data in the first image object into a second image object;
s12, reading one frame of image from the image sensor through the loop execution module, writing the frame of image into the first image object and the second image object to match the image data, and continuously performing the loop execution matching operation.
Preferably, the step of defining the first image object, the second image object, the image sequence number variable, the key frame object and the normal frame object array specifically includes:
1) Constructing an image class, the image class comprising color-coded values for each pixel;
2) Constructing an image offset class, wherein the image offset class comprises an image sequence number, an offset pixel coordinate value array, an offset variable array, a difference pixel coordinate value array and a difference pixel color coding array;
3) Constructing an image data transmission class, wherein the image data transmission class comprises object byte stream data;
4) Defining a first image object inherited from the image class for temporarily storing current frame image data read from the image sensor;
5) Defining a second image object inherited by the image class for temporarily storing the previous frame of image data;
6) Defining a key frame object inherited by the image class for storing key frame image data;
7) And defining a common frame object array, wherein each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image sequence number of the current frame image, the offset pixel coordinate value array of the previous frame image, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array.
Preferably, after the step of writing the image data transmission object into the image data transmission queue, the method further includes:
1) Acquiring the number of idle threads in a current image data transmission thread pool;
2) When the number of the idle threads is not 0 and the number of unlocked image data transmission objects in the image data transmission queue is not 0, acquiring a thread i d of one idle thread and starting the thread to execute a transmission task;
3) Reading at least one unlocked image data transmission object from the image data transmission queue;
4) Locking the image data transmission object to a current image data transmission thread;
5) Transmitting the at least one image data transmission object;
6) Determining a transmission state of the image data transmission object;
7) Deleting the image data transmission object from the image data transmission queue when the transmission state is completed;
8) Resetting the current image data transfer thread to restore the image data transfer thread pool.
(III) beneficial effects
The invention provides a self-circulation monitoring system. The beneficial effects are as follows:
1. the invention provides a self-circulation monitoring system, which reads a frame of image from an image sensor to write into a first image object through circulation execution, stores image data of the first image object into a key frame object, compares the image data of the first image object with the image data of a second image object, writes an offset pixel coordinate value array, an offset variable array, a difference pixel coordinate value array and a difference pixel color coding array of the first image object into corresponding sub-objects in a common frame object array, stores the image data in the first image object into the second image object, reads a frame of image from the image sensor to write into the first image object into the second image object through a circulation execution module to match the image data, and continuously and circularly executes matching operation, so that the requirements of the processing capacity and the heat dissipation capacity of ultra-high-definition video monitoring equipment can be effectively reduced.
2. The invention provides a self-circulation monitoring system, which divides an acquired camera monitoring video into a plurality of video content groups, a primary phase verification unit verifies each piece of received video information, intercepts abnormal video, marks all intercepted video as key video and transmits the key video back to a sub-processing end, the sub-processing end transmits the key video to a verification port unit through a transfer terminal for port verification, and after verification, a processor transmits the key video to a corresponding storage end for storage through a mobile device, filters and deletes camera monitoring video data, thereby reducing the problem that the camera monitoring video data occupies network resources and storage space, and improving the safety of data transmission.
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.
Example 1:
an aspect of the embodiment of the invention provides a self-circulation monitoring system, which comprises a video acquisition camera device, a video transmission end, a sub-item processing end, a primary phase verification unit, a transfer terminal, a verification port unit and a memory, wherein the video acquisition camera device comprises a shooting camera, a 5G communication transmission module, an image sensor, a processor and the memory, the memory is used for storing image data acquired from the image sensor, the processor is used for processing the image data and then transmitting the processed image data to a monitoring program of a remote device through the 5G communication transmission module, and the processor executes the monitoring program to realize the processing of the 5G ultra-high definition video monitoring data.
The self-circulation monitoring system further comprises:
the video transmission end is used for acquiring the monitoring video shot by the shooting camera, dividing the acquired camera monitoring video into a plurality of video content groups, wherein each video content group comprises a plurality of pieces of video information;
the sub-item processing end is used for transmitting the video information to the initial phase verification unit after receiving the video information monitored by the camera;
the initial phase verification unit is used for verifying each piece of received video information, intercepting abnormal videos in the received video information, marking all the intercepted abnormal videos as key videos and transmitting the key videos back to the sub-item processing end;
the system comprises a transfer terminal and a verification port unit, wherein the key video is transmitted to the verification port unit through the transfer terminal by the sub-processing terminal, then port verification is carried out, after verification is passed, the processor transmits the key video to a corresponding storage terminal through the mobile device for storage, and the key video information is remotely transmitted to the remote device through the 5G communication transmission module;
the remote equipment can be a cloud server or a local server which is in remote communication connection with the camera device, and the remote equipment is operated with a corresponding decoding program for decoding and restoring the data transmitted by the camera device into complete images in video data.
In the above self-circulation monitoring system, the method for dividing the video content group is as follows:
s1: acquiring single movement time T: if T is smaller than Td, marking the camera monitoring video corresponding to the single movement as a mobile video, taking the camera monitoring video corresponding to the single movement as a video content group, otherwise, entering S2;
s2: marking a robot monitoring video corresponding to a road section with V=0 and duration longer than Tc in single movement as a waiting video, and marking the rest as a moving video;
s3: according to the time sequence, the robot monitoring video from the single movement start to the first waiting video is divided into a video content group, each waiting video is divided into a video content group, the robot monitoring video between the two waiting videos is divided into a video content group, and the robot monitoring video from the waiting video to the single movement end is divided into a video content group;
wherein Td and Tc are preset values, V is a moving speed, and Tc is more than 2 minutes.
In the above self-circulation monitoring system, the initial phase verification unit includes:
the variable definition module is used for defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array;
an image reading module for reading a frame of image from the image sensor and writing a first image object;
the key frame assignment module is used for storing the image data in the first image object into a key frame object and storing the image data in the second image object into a common frame object;
the image matching module is used for matching the image data of the first image object with the image data of the second image object;
the offset assignment module is used for writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into the common frame object array;
an image object assignment module for storing image data in the first image object to the second image object;
and the loop execution module is used for circularly executing the matching of the image data by reading one frame of image from the image sensor and writing the frame of image into the first image object and the second image object, and continuously circularly executing the matching operation.
In the above self-circulation monitoring system, the variable definition module includes:
a first image object definition sub-module for defining a first image object inheriting from the image class for temporarily storing current frame image data read from the image sensor;
a second image object definition sub-module, configured to define a second image object, where the second image object inherits from the image class and is used to temporarily store the previous frame of image data;
a key frame object definition sub-module for defining a key frame object inherited from the image class for storing key frame image data;
the common frame object array definition sub-module is used for defining a common frame object array, and each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image serial number of the current frame image, the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array of the previous frame image.
In the self-circulation monitoring system, the port verification algorithm is as follows:
1) And respectively presetting a unique identification code for each mobile device and each storage end, wherein the unique identification code consists of 9-bit characters, and the unique identification codes of the corresponding mobile devices and storage ends are the same.
2) And acquiring the starting time and the ending time of each abnormal video according to the monitoring record of the mobile recorder, and marking the ending time as H2 and the starting time as H1.
3) A dynamic code D1 is calculated and,r is the number of abnormal videos in the current movement, < >>Representation->Taking the value of the unit number;
the first character of the unique identification code is taken as a first sequence code, the D1 character is taken as a second sequence code from the first sequence code, the first sequence code and the second sequence code are sequentially combined to form a first key code.
4) The dynamic code D2 is calculated and,
and (3) taking the D2 character as a sequence code III from the first character of the unique identification code, and circulating to the D2 character as a sequence code IV from the sequence code together, wherein the sequence code III and the sequence code IV are sequentially combined to form a key code II.
5) If the sum of the second key and the first key is odd, the handshake key is the second key and the first key; if the sum of the key two and the key one is odd, the handshake key is key one+key two.
6) And the mobile equipment and the storage end respectively perform key number two and key number one operation, and if the handshake keys are the same, the verification passes.
7) And after the verification is passed, the key video is transmitted to a corresponding storage end through the mobile equipment for storage, and the key video is deleted according to the period.
In the self-circulation monitoring system, the video acquisition camera device further comprises a storage rule base and a management unit, wherein the storage rule base is internally provided with a storage rule of the key video, the storage rule comprises a storage period of the key video, and the management unit is used for inputting or modifying a preset value.
Example 2:
another aspect of the embodiment of the present invention provides a data processing method of a self-circulation monitoring system, including the following steps:
s1, shooting a monitoring video through a shooting camera to acquire the video;
s2, dividing the acquired camera monitoring video into a plurality of video content groups through a video transmitting end, and transmitting the video content groups to a sub-item processing end;
s3, after the sub-item processing end receives the video information monitored by the camera, the video information is transmitted to the initial phase verification unit;
s4, the initial phase verification unit verifies each piece of received video information and intercepts abnormal video in the video information;
s5, defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array in the initial phase verification unit;
s6, reading a frame of image from an image sensor and writing the frame of image into the first image object;
s7, storing the image data in the first image object to a key frame object;
s8, storing the image data in the second image object into a common frame object;
s9, matching the image data of the first image object with the image data of the second image object;
s10, writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into a common frame object array;
s11, storing the image data in the first image object into a second image object;
s12, reading one frame of image from the image sensor through the loop execution module, writing the frame of image into the first image object and the second image object to match the image data, and continuously performing the loop execution matching operation.
In the above data processing method of the self-circulation monitoring system, the defining steps of the first image object, the second image object, the image sequence number variable, the key frame object and the common frame object array specifically include:
1) Constructing an image class, the image class comprising color-coded values for each pixel;
2) Constructing an image offset class, wherein the image offset class comprises an image sequence number, an offset pixel coordinate value array, an offset variable array, a difference pixel coordinate value array and a difference pixel color coding array;
3) Constructing an image data transmission class, wherein the image data transmission class comprises object byte stream data;
4) Defining a first image object inherited from the image class for temporarily storing current frame image data read from the image sensor;
5) Defining a second image object inherited by the image class for temporarily storing the previous frame of image data;
6) Defining a key frame object inherited by the image class for storing key frame image data;
7) And defining a common frame object array, wherein each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image sequence number of the current frame image, the offset pixel coordinate value array of the previous frame image, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array.
In the above data processing method of the self-circulation monitoring system, after the step of writing the image data transmission object into the image data transmission queue, the method further includes:
1) Acquiring the number of idle threads in a current image data transmission thread pool;
2) When the number of the idle threads is not 0 and the number of unlocked image data transmission objects in the image data transmission queue is not 0, acquiring a thread i d of one idle thread and starting the thread to execute a transmission task;
3) Reading at least one unlocked image data transmission object from the image data transmission queue;
4) Locking the image data transmission object to a current image data transmission thread;
5) Transmitting the at least one image data transmission object;
6) Determining a transmission state of the image data transmission object;
7) Deleting the image data transmission object from the image data transmission queue when the transmission state is completed;
8) Resetting the current image data transfer thread to restore the image data transfer thread pool.
In this embodiment, the image data transmission program in the monitor program creates an image transmission thread pool with a preset number of image transmission threads in advance, and is used for transmitting image data transmission object data in the image data transmission queue, after each thread in the image transmission thread pool is called, when the image data transmission object in the image data transmission queue is transmitted, the image data transmission program locks the transmitted image transmission object onto the corresponding image transmission thread, so as to avoid that a plurality of transmission threads simultaneously transmit the same image transmission object, and each image transmission thread is returned to the image data transmission thread pool for the image data transmission program to be reused after completing a transmission task, thereby avoiding that the repeated creation thread occupies system resources.
The invention provides a self-circulation monitoring system and a data processing method thereof, wherein a frame of image is read from an image sensor and written into a first image object through circulation execution, image data of the first image object is stored into a key frame object, the image data of the first image object is compared with image data of a second image object, offset pixel coordinate value arrays, offset variable arrays, difference pixel coordinate value arrays and difference pixel color coding arrays of the first image object are written into corresponding sub-objects in a common frame object array, the image data in the first image object is stored into the second image object, a frame of image is read from the image sensor and written into the first image object to the second image object through a circulation execution module for matching of the image data, and continuous circulation execution of matching operation can effectively reduce the requirements of the processing capacity and the heat dissipation capacity of ultra-high-definition video monitoring equipment.
And divide the video of camera control that obtains into a plurality of video content groups, the first phase verifies the unit and verifies each piece of video information that receives, and intercept the unusual video, all mark the video that intercepts as the key video and return to the processing end of dividing, dividing the processing end and transmitting the key video to the verification port unit through the switching terminal, carry out port verification, after verifying, the processor transmits the key video to the storage end storage that corresponds through the mobile device, filter the deleting to the video data of camera control, the problem that the video data of camera control occupy network resource and storage space has been reduced, the security of data transmission has also been improved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides a self-loopa monitored control system, includes that video acquires camera device, video transmitting end, branch term processing end, initial phase verification unit, switching terminal, verification port unit and, its characterized in that: the video acquisition and shooting device comprises a shooting camera, a 5G communication transmission module, an image sensor, a processor and a memory, wherein the memory is used for storing image data acquired from the image sensor, the image data is processed by the processor and then is sent to a monitoring program of remote equipment through the 5G communication transmission module, and the processor executes the monitoring program to realize the processing of 5G ultra-high definition video monitoring data;
the video transmission end is used for acquiring the monitoring video shot by the shooting camera, dividing the acquired camera monitoring video into a plurality of video content groups, wherein each video content group comprises a plurality of pieces of video information;
the sub-item processing end is used for transmitting the video information to the initial phase verification unit after receiving the video information monitored by the camera;
the initial phase verification unit is used for verifying each piece of received video information, intercepting abnormal videos in the received video information, marking all the intercepted abnormal videos as key videos and transmitting the key videos back to the sub-item processing end;
the system comprises a transfer terminal and a verification port unit, wherein the key video is transmitted to the verification port unit through the transfer terminal by the sub-processing terminal, then port verification is carried out, after verification is passed, the processor transmits the key video to a corresponding storage terminal through the mobile device for storage, and the key video information is remotely transmitted to the remote device through the 5G communication transmission module;
the remote equipment can be a cloud server or a local server which is in remote communication connection with the camera device, and the remote equipment is operated with a corresponding decoding program for decoding and restoring the data transmitted by the camera device into complete images in video data.
2. A self-circulation monitoring system according to claim 1, wherein: the method for dividing the video content groups comprises the following steps:
s1: acquiring single movement time T: if T is smaller than Td, marking the camera monitoring video corresponding to the single movement as a mobile video, taking the camera monitoring video corresponding to the single movement as a video content group, otherwise, entering S2;
s2: marking a robot monitoring video corresponding to a road section with V=0 and duration longer than Tc in single movement as a waiting video, and marking the rest as a moving video;
s3: according to the time sequence, the robot monitoring video from the single movement start to the first waiting video is divided into a video content group, each waiting video is divided into a video content group, the robot monitoring video between the two waiting videos is divided into a video content group, and the robot monitoring video from the waiting video to the single movement end is divided into a video content group;
wherein Td and Tc are preset values, V is a moving speed, and Tc is more than 2 minutes.
3. A self-circulation monitoring system according to claim 1, wherein: the initial phase verification unit includes:
the variable definition module is used for defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array;
an image reading module for reading a frame of image from the image sensor and writing a first image object;
the key frame assignment module is used for storing the image data in the first image object into a key frame object and storing the image data in the second image object into a common frame object;
the image matching module is used for matching the image data of the first image object with the image data of the second image object;
the offset assignment module is used for writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into the common frame object array;
an image object assignment module for storing image data in the first image object to the second image object;
and the loop execution module is used for circularly executing the matching of the image data by reading one frame of image from the image sensor and writing the frame of image into the first image object and the second image object, and continuously circularly executing the matching operation.
4. A self-circulation monitoring system according to claim 3, wherein: the variable definition module includes:
a first image object definition sub-module for defining a first image object inheriting from the image class for temporarily storing current frame image data read from the image sensor;
a second image object definition sub-module, configured to define a second image object, where the second image object inherits from the image class and is used to temporarily store the previous frame of image data;
a key frame object definition sub-module for defining a key frame object inherited from the image class for storing key frame image data;
the common frame object array definition sub-module is used for defining a common frame object array, and each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image serial number of the current frame image, the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array of the previous frame image.
5. A self-circulation monitoring system according to claim 1, wherein: the port verification algorithm is as follows:
1) And respectively presetting a unique identification code for each mobile device and each storage end, wherein the unique identification code consists of 9-bit characters, and the unique identification codes of the corresponding mobile devices and storage ends are the same.
2) And acquiring the starting time and the ending time of each abnormal video according to the monitoring record of the mobile recorder, and marking the ending time as H2 and the starting time as H1.
3) A dynamic code D1 is calculated and,r is the number of abnormal videos in the current movement, < >>Representation->Taking the value of the unit number;
the first character of the unique identification code is taken as a first sequence code, the D1 character is taken as a second sequence code from the first sequence code, the first sequence code and the second sequence code are sequentially combined to form a first key code.
4) The dynamic code D2 is calculated and,
and (3) taking the D2 character as a sequence code III from the first character of the unique identification code, and circulating to the D2 character as a sequence code IV from the sequence code together, wherein the sequence code III and the sequence code IV are sequentially combined to form a key code II.
5) If the sum of the second key and the first key is odd, the handshake key is the second key and the first key; if the sum of the key two and the key one is odd, the handshake key is key one+key two.
6) And the mobile equipment and the storage end respectively perform key number two and key number one operation, and if the handshake keys are the same, the verification passes.
7) And after the verification is passed, the key video is transmitted to a corresponding storage end through the mobile equipment for storage, and the key video is deleted according to the period.
6. A self-circulation monitoring system according to claim 1, wherein: the video acquisition camera device further comprises a storage rule base and a management unit, wherein the storage rule base is internally provided with storage rules of the key videos, the storage rules comprise storage periods of the key videos, and the management unit is used for inputting or modifying preset values.
7. A data processing method of a self-circulation monitoring system is characterized by comprising the following steps of: the method comprises the following steps:
s1, shooting a monitoring video through a shooting camera to acquire the video;
s2, dividing the acquired camera monitoring video into a plurality of video content groups through a video transmitting end, and transmitting the video content groups to a sub-item processing end;
s3, after the sub-item processing end receives the video information monitored by the camera, the video information is transmitted to the initial phase verification unit;
s4, the initial phase verification unit verifies each piece of received video information and intercepts abnormal video in the video information;
s5, defining a first image object, a second image object, an image sequence number variable, a key frame object and a common frame object array in the initial phase verification unit;
s6, reading a frame of image from an image sensor and writing the frame of image into the first image object;
s7, storing the image data in the first image object to a key frame object;
s8, storing the image data in the second image object into a common frame object;
s9, matching the image data of the first image object with the image data of the second image object;
s10, writing the offset pixel coordinate value array, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array which are obtained by matching into a common frame object array;
s11, storing the image data in the first image object into a second image object;
s12, reading one frame of image from the image sensor through the loop execution module, writing the frame of image into the first image object and the second image object to match the image data, and continuously performing the loop execution matching operation.
8. The method for processing data of a self-circulation monitoring system according to claim 7, wherein: the defining the first image object, the second image object, the image sequence number variable, the key frame object and the common frame object array specifically comprises the following steps:
1) Constructing an image class, the image class comprising color-coded values for each pixel;
2) Constructing an image offset class, wherein the image offset class comprises an image sequence number, an offset pixel coordinate value array, an offset variable array, a difference pixel coordinate value array and a difference pixel color coding array;
3) Constructing an image data transmission class, wherein the image data transmission class comprises object byte stream data;
4) Defining a first image object inherited from the image class for temporarily storing current frame image data read from the image sensor;
5) Defining a second image object inherited by the image class for temporarily storing the previous frame of image data;
6) Defining a key frame object inherited by the image class for storing key frame image data;
7) And defining a common frame object array, wherein each sub-object of the common frame object array is inherited by the image offset class and is used for storing the image sequence number of the current frame image, the offset pixel coordinate value array of the previous frame image, the offset variable array, the difference pixel coordinate value array and the difference pixel color coding array.
9. The method for processing data of a self-circulation monitoring system according to claim 7, wherein: after the step of writing the image data transmission object into the image data transmission queue, the method further comprises:
1) Acquiring the number of idle threads in a current image data transmission thread pool;
2) When the number of the idle threads is not 0 and the number of unlocked image data transmission objects in the image data transmission queue is not 0, acquiring the thread id of one idle thread and starting the thread to execute a transmission task;
3) Reading at least one unlocked image data transmission object from the image data transmission queue;
4) Locking the image data transmission object to a current image data transmission thread;
5) Transmitting the at least one image data transmission object;
6) Determining a transmission state of the image data transmission object;
7) Deleting the image data transmission object from the image data transmission queue when the transmission state is completed;
8) Resetting the current image data transfer thread to restore the image data transfer thread pool.
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