Method and system for data processing, analysis, tracking and camera shooting of full space-time monitoring equipment

Abstract

The invention provides a data processing, analyzing, tracking and camera shooting method and system for full-space-time monitoring equipment, and relates to the technical field of video surveillance, and the method comprises the steps: obtaining target data from a positioning and orientation module of the monitoring equipment in real time, and obtaining a data set in combination with a firmware version number and / or a current magnification factor of the monitoring equipment, the target data represents position information and / or attitude information of the monitoring equipment; encoding the data set to generate a two-dimensional code; superposing the two-dimensional code into a monitoring picture in an image form to obtain a target monitoring picture; and encoding the target monitoring picture to obtain a video data stream, and sending the video data stream to a background server for analysis processing. According to the invention, the problem in the prior art that when the network is congested, the synchronism and the real-time performance of the video stream information and the attitude position information of the monitoring equipment become poor, resulting in inaccurate positioning or control failure of the target in the video is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of video surveillance, and in particular to a data processing, analysis, tracking and video recording method and system for full-time and space surveillance equipment. Background Art

[0002] Satellite navigation systems can provide high-precision, high-reliability positioning, navigation and timing services for all industries around the world around the clock and in all weather conditions. Among them, positioning terminals such as positioning chips and positioning modules, as the core components of the positioning system, play an important role in the implementation of positioning.

[0003] In current camera surveillance applications, many cameras still rely on manual adjustment of shooting angles, which causes them to lag behind when recording key events or people, and fail to capture the development of events or the whereabouts of people in real time. Although some smart cameras use image processing technology to try to automatically identify and track targets, their tracking accuracy and reliability still need to be improved due to limitations such as shooting distance and object occlusion.

[0004] Cameras equipped with satellite positioning and orientation modules can obtain their own geographic location and posture information. If the monitoring system can obtain this information, combined with the location information of the shooting target, it can calculate the camera's rotation angle and other control parameters, and control the camera to achieve tracking and shooting of the target.

[0005] The existing implementation scheme is to transmit the camera's geographic location and posture information and the video stream through different network paths. However, when the network is congested, this separate transmission method may affect the real-time and synchronization of information, leading to a series of problems such as inaccurate positioning of the target in the video or control failure. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a data processing, analysis, tracking and camera method and system for full-time and space monitoring equipment, which solves the problem in the prior art that when the network is congested, the synchronization and real-time performance of the video stream information and posture position information of the monitoring equipment deteriorate, resulting in inaccurate target positioning in the video or control failure.

[0007] At least one embodiment of the present invention provides a data processing method for a full-time and space monitoring device, comprising:

[0008] Acquire target data from the positioning and orientation module of the monitoring device in real time, and obtain a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the position information and / or posture information of the monitoring device;

[0009] Encoding the data set to generate a QR code;

[0010] The QR code is superimposed on the monitoring screen in the form of an image to obtain a target monitoring screen;

[0011] The target monitoring screen is encoded to obtain a video data stream, and sent to a background server for parsing and processing.

[0012] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0013] By superimposing the QR code on the monitoring screen, the synchronization and real-time nature of the video stream information and the corresponding camera's posture information, location information, firmware version number, current magnification and other related parameters can be ensured, while also ensuring the integrity of information transmission.

[0014] In the data processing method of a full-time and space monitoring device provided by one of the embodiments of the present invention, the location information of the monitoring device is at least one of the longitude of the monitoring device, the latitude of the monitoring device and the altitude of the monitoring device, and the posture information of the monitoring device is at least one of the pitch angle of the monitoring device, the roll angle of the monitoring device, the azimuth angle of the monitoring device and the movement speed of the monitoring device;

[0015] The target data also includes at least one of the current date, the current time, the number of satellites, the dual antenna distance and the error factor.

[0016] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0017] The position information obtained above can be used to calculate the relative position of the monitoring equipment and the monitoring target. The attitude information obtained above can be used to calculate whether the monitoring target is within the monitoring area. At the same time, the current date and time obtained above can be used to provide a basis for time tracking of events and historical data tracing analysis. The number of satellites, dual antenna distance and error factor obtained above can be used to improve positioning accuracy.

[0018] In a data processing method for a full-time and space monitoring device provided in one embodiment of the present invention, encoding the data set to generate a QR code includes:

[0019] Formatting the data set according to a preset conversion rule to obtain formatted data;

[0020] The formatted data is encoded to generate a two-dimensional code.

[0021] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0022] By formatting according to preset rules, the transmission of QR code information is facilitated and the logic and readability of the data are ensured.

[0023] At least one embodiment of the present invention further provides a data parsing method for a full-time and space monitoring device, comprising:

[0024] Receive video data streams sent by monitoring equipment in real time;

[0025] Decoding the video data stream and extracting any frame of image;

[0026] The two-dimensional code in the frame image is extracted and parsed to obtain a data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device.

[0027] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0028] By parsing the QR code, the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device can be obtained. The information obtained by the analysis is in the same time period as the video stream, ensuring the real-time effectiveness of the video stream information and the current posture position of the camera.

[0029] In a data parsing method for a full-time and space monitoring device provided in one embodiment of the present invention, extracting the two-dimensional code in the frame image and parsing to obtain the data set includes:

[0030] Extracting the two-dimensional code in the frame image, and identifying formatted data in the two-dimensional code;

[0031] The formatted data is parsed according to preset conversion rules to obtain a data set.

[0032] In a data parsing method for a full-time and space monitoring device provided in one embodiment of the present invention, extracting the two-dimensional code in the frame image includes:

[0033] De-noising, contrast enhancement and edge detection are performed on the frame image to obtain a target frame image, and the two-dimensional code in the target frame image is extracted.

[0034] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0035] By removing noise, increasing contrast and detecting edges of frame images, the image quality can be improved to increase the subsequent recognition rate of the QR code.

[0036] In a data parsing method for a full-time and space monitoring device provided in one embodiment of the present invention, extracting the two-dimensional code in the target frame image includes:

[0037] The two-dimensional code in the target frame image is located and segmented through template matching or feature point detection.

[0038] The present invention also provides a tracking camera method based on a full-time and space monitoring device, comprising:

[0039] Acquire in real time the data set obtained by parsing in the data parsing method of the full-time and space monitoring device described above;

[0040] Determine the current posture information and current position information of the monitoring device according to the data set, compare the current posture with the preset target posture, and determine the posture difference;

[0041] Compare the current position with the preset target position to determine the position difference;

[0042] The posture and position of the monitoring device are adjusted according to the posture difference and position difference.

[0043] The technical solution disclosed in the present invention has at least the following beneficial effects:

[0044] By analyzing the data set obtained, the position and posture of the monitoring equipment can be adjusted in real time and effectively. Compared with the existing technology, it is no longer limited by network congestion and is more practical.

[0045] The present invention also provides a data processing system based on the full-time and space monitoring device, comprising:

[0046] A data acquisition module acquires target data from the positioning and orientation module in real time, and obtains a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the location information and / or posture information of the monitoring device;

[0047] An encoding module, encoding the data set to generate a QR code;

[0048] An image processing module superimposes the QR code onto a monitoring screen in the form of an image to obtain a target monitoring screen;

[0049] The transmission module encodes the target monitoring picture to obtain a video data stream, and sends it to the background server for parsing and processing.

[0050] The present invention also provides a data analysis system based on the full-time and space monitoring device, comprising:

[0051] A receiving module receives the video data stream sent by the monitoring device in real time;

[0052] A video decoding module is used to decode the video data stream and extract any frame of image;

[0053] A data parsing module extracts the QR code in the frame image and parses it to obtain the data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a flow chart of a data processing method for full-time and space monitoring equipment according to the present invention;

[0055] Figure 2 It is a flow chart of a data analysis method for full-time and space monitoring equipment according to the present invention;

[0056] Figure 3 It is a flow chart of a tracking camera method based on a full-time and space monitoring device according to the present invention;

[0057] Figure 4 It is a flow chart of a data processing system for a full-time and space monitoring device according to the present invention;

[0058] Figure 5 It is a flow chart of the data analysis system of the full-time and space monitoring equipment of the present invention. DETAILED DESCRIPTION

[0059] The principles and features of the present invention are described below. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention.

[0060] Furthermore, those skilled in the art may combine and associate different embodiments or examples and features of different embodiments or examples described in this specification without mutual contradiction.

[0061] The present invention aims to timely, accurately and synchronously transmit the real-time geographic location and posture information of the camera itself to the monitoring system background, and ensure that the background can parse this information with high accuracy and efficiency, thereby realizing applications such as dynamic tracking.

[0062] In order to solve the above problems, the present invention provides a data processing method for full-time and space monitoring equipment, please refer to Figure 1 As shown, including:

[0063] Acquire target data from the positioning and orientation module of the monitoring device in real time, and obtain a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the position information and / or posture information of the monitoring device;

[0064] Encoding the data set to generate a QR code;

[0065] The QR code is superimposed on the monitoring screen in the form of an image to obtain a target monitoring screen;

[0066] The target monitoring screen is encoded to obtain a video data stream, and sent to a background server for parsing and processing.

[0067] By superimposing the QR code on the monitoring screen, the synchronization and real-time nature of the video stream information and the corresponding camera's posture information, location information, firmware version number, current magnification and other related parameters can be ensured, while also ensuring the integrity of information transmission.

[0068] Based on the above information encoding and transmission method, the backend server can efficiently capture and analyze the real-time data of the monitoring equipment, and realize the dynamic automatic tracking and shooting of the monitored object. This method not only optimizes the efficiency, timeliness and accuracy of data transmission, but also provides a basis for the intelligent functions of the backend server, ensuring rapid response and accurate monitoring of key events.

[0069] Specifically, the location information of the monitoring device is at least one of the longitude of the monitoring device, the latitude of the monitoring device and the altitude of the monitoring device, and the attitude information of the monitoring device is at least one of the pitch angle of the monitoring device, the roll angle of the monitoring device, the azimuth angle of the monitoring device and the movement speed of the monitoring device;

[0070] The target data also includes at least one of the current date, the current time, the number of satellites, the dual antenna distance and the error factor.

[0071] The sources and uses of these data in the monitoring system are as follows:

[0072] Current date and current time: from the positioning and orientation module, accurate to the second, ensuring the accuracy, timeliness and synchronization of monitoring records, and providing a basis for time tracking of events and historical data retrospective analysis.

[0073] The longitude and latitude of the monitoring device: comes from the positioning and orientation module, generally accurate to 6 decimal places (higher accuracy can be used in high-precision applications), providing the geographic coordinates of the monitoring device for calculating the relative position to the monitoring target.

[0074] Altitude of monitoring equipment: It comes from the positioning and orientation module, supplemented with geographic information, and is used to calculate the target altitude and the vertical adjustment angle of the monitoring equipment.

[0075] Number of satellites: comes from the positioning and orientation module, reflecting the positioning accuracy and reliability. The more satellites there are, the more accurate the positioning data is usually.

[0076] Dual antenna distance: comes from the positioning and orientation module, used to calculate the azimuth angle of the monitoring device camera and improve positioning accuracy.

[0077] Pitch angle: It comes from the positioning and orientation module and indicates the vertical viewing angle of the monitoring device. It is used to determine the vertical range of the monitoring area and judge whether the monitoring target is within the monitoring area.

[0078] Roll Angle: From the positioning and orientation module, it indicates the horizontal tilt of the monitoring device, which helps to calibrate the monitoring device to avoid image distortion.

[0079] Direction angle: It comes from the positioning and orientation module, determines the direction of the monitoring device, and judges whether the monitoring target is within the monitoring area. It is crucial for directional monitoring and target tracking.

[0080] Movement speed of the monitoring device: comes from the positioning and orientation module. If the monitoring device is installed on a mobile platform, it provides a calculation reference in a dynamic monitoring scenario.

[0081] Error factor: It comes from the positioning and orientation module, provides error estimation of positioning data, helps to evaluate the reliability of data, and can also provide error redundancy reference in calculation to ensure effective control of monitoring equipment.

[0082] Firmware version: comes from the monitoring device software, ensuring the compatibility and security of the monitoring device software and facilitating system upgrades and maintenance.

[0083] Current magnification: It comes from the monitoring device software and indicates the focal length setting of the monitoring device, which affects the detail clarity and field of view of the monitoring image, making the monitoring target complete and clear.

[0084] Specifically, encoding the data set to generate a QR code includes:

[0085] Formatting the data set according to a preset conversion rule to obtain formatted data;

[0086] The formatted data is encoded to generate a two-dimensional code.

[0087] By formatting according to preset rules, the transmission of QR code information is facilitated, ensuring the logic and readability of the data.

[0088] Among them, the two-dimensional code used in this embodiment is a QR two-dimensional code. Since the QR two-dimensional code itself has the characteristics of large capacity, it is used as a data carrier of information to be integrated into the video screen, occupying a smaller area of ​​the screen, which not only ensures the integrity of the main content of the monitoring screen, but also provides a sufficient additional information layer. In addition, the QR two-dimensional code also has the characteristics of high reliability and low cost, and is an ideal choice for the information transmission and verification process between the monitoring equipment and the background server.

[0089] In summary:

[0090] First, the monitoring device performs an initialization process after it is turned on, including turning on the internal integrated positioning and orientation module, waiting for it to acquire satellite data, and outputting target data information such as time, position, and attitude after satellite positioning. When the monitoring device is in working state, the satellite positioning and orientation module remains turned on and works continuously, outputting the latest results of the current time, positioning, and orientation every second.

[0091] After initialization is completed, the monitoring device obtains information from the target data such as its own geographic location and attitude from the results output by the positioning and orientation module, and adds the monitoring device's own parameter information to obtain a data set, including but not limited to date, time, longitude, latitude, altitude, number of satellites, dual antenna distance, pitch angle, roll angle, azimuth angle, speed, error factor, firmware version and current magnification.

[0092] Subsequently, the monitoring equipment formats the data set consisting of this information according to the preset conversion rules to ensure the logic and readability of the data.

[0093] The preset conversion rules are as follows:

[0094] It uses an ASCII string format with 14 fields. Each field consists of an identification character + field value, and the fields are separated by " / ".

[0095] The fields are defined as follows:

[0096]

[0097] In the above table, in the *Latitude field, a character is appended after the value to indicate the latitude, N for North Latitude and S for South Latitude

[0098] In the table above, in the **longitude field, a character is appended after the value to indicate the longitude, E for east longitude and W for west longitude

[0099] In the table above, in the ***Direction Angle field, a character is appended after the value to indicate the data validity, A for valid and V for invalid.

[0100] The data types are defined as follows:

[0101]

[0102] The data example is as follows:

[0103] A20240805 / B133044 / C3029.29423N / D11433.420162E / E87.825 / F18 / G0.19 / H-0.13 / I-0.36 / J000.026 / K1.13 / L155.33A / M16.7C001 / N10.

[0104] The formatted data is then encoded to generate a QR code with a size of 220*220.

[0105] After the position, posture and other information are converted into QR codes, they are superimposed on the monitoring screen in the form of images as an additional information layer. In order to ensure the integrity of the monitoring screen, it is usually placed in the lower right corner of the screen or other locations that do not interfere with the main monitoring content.

[0106] Finally, the entire surveillance image is encoded into a video data stream and transmitted to the backend server through the network. At the information level, the surveillance image contained in the video data has been superimposed with a QR code, which carries information such as the location and posture of the camera, but at the data transmission level, it is no different from the transmission of ordinary surveillance videos.

[0107] The present invention also provides a data analysis method for full-time and space monitoring equipment, please refer to Figure 2 As shown, including:

[0108] Receive video data streams sent by monitoring equipment in real time;

[0109] Decoding the video data stream and extracting any frame of image;

[0110] The two-dimensional code in the frame image is extracted and parsed to obtain a data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device.

[0111] By parsing the QR code, the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device can be obtained. The information obtained by the analysis is in the same time period as the video stream, ensuring the real-time effectiveness of the video stream information and the current posture position of the camera.

[0112] Specifically, extracting the two-dimensional code in the frame image and parsing to obtain the data set includes:

[0113] Extracting the two-dimensional code in the frame image, and identifying formatted data in the two-dimensional code;

[0114] The formatted data is parsed according to preset conversion rules to obtain a data set.

[0115] Specifically, extracting the two-dimensional code in the frame image includes:

[0116] De-noising, contrast enhancement and edge detection are performed on the frame image to obtain a target frame image, and the two-dimensional code in the target frame image is extracted.

[0117] By removing noise, increasing contrast and detecting edges of frame images, the image quality can be improved to increase the subsequent recognition rate of the QR code.

[0118] Specifically, extracting the two-dimensional code in the target frame image includes:

[0119] The two-dimensional code in the target frame image is located and segmented through template matching or feature point detection.

[0120] In summary:

[0121] After the video data stream arrives at the backend server, the backend server first decodes the video data stream and extracts key frames or continuous frame images, which contain static images of the monitoring screen. The extracted frame images are preprocessed, including denoising, contrast enhancement, edge detection, etc., to improve image quality and prepare for subsequent processing steps.

[0122] Then, the backend server uses image processing algorithms, such as template matching or feature point detection, to locate the QR code in the image and accurately segment the QR code from the monitoring screen. Then, optical character recognition technology is applied to identify the text data in the QR code. The identified text data is parsed according to the preset conversion rules to extract information such as the longitude of the monitoring device, the latitude of the monitoring device, the altitude of the monitoring device, the pitch angle of the monitoring device, the roll angle of the monitoring device, the azimuth angle of the monitoring device, the movement speed of the monitoring device, the current date, the current time, the number of satellites, the distance between the two antennas, and the error factor.

[0123] Based on the data set information obtained by the above analysis, the present invention also provides a tracking camera method based on a full-time and space monitoring device, please refer to Figure 3 As shown, including:

[0124] Acquire in real time the data set obtained by parsing in the data parsing method of the full-time and space monitoring device described above;

[0125] Determine the current posture information and current position information of the monitoring device according to the data set, compare the current posture with the preset target posture, and determine the posture difference;

[0126] Compare the current position with the preset target position to determine the position difference;

[0127] The posture and position of the monitoring device are adjusted according to the posture difference and position difference.

[0128] By analyzing the data set obtained, the position and posture of the monitoring equipment can be adjusted in real time and effectively. Compared with the existing technology, it is no longer limited by network congestion and is more practical.

[0129] The monitoring device and the backend server are connected via a network. The monitoring device uploads the video data stream obtained by monitoring to the backend server, where the information in the data set, such as the video data stream of the connected monitoring device, the location and the current shooting direction angle, can be viewed in real time. The backend server runs an automatic target tracking algorithm and can also transmit control instructions to the monitoring device through the network to manipulate the monitoring device to achieve the purpose of tracking and shooting the target.

[0130] After receiving the control command from the background server, the monitoring device performs horizontal rotation or pitch angle adjustment according to the instruction. Its own posture changes, and the position and posture information output by the positioning and orientation module will also change accordingly. Therefore, it is necessary to update the positioning and orientation results in time, reflect them on the QR code, and then upload them to the server with the monitoring video data stream. In this way, the entire tracking camera method includes real-time data upload, remote control, monitoring device response, posture change feedback, information encoding and updating, dynamic data upload and other processes, forming a closed-loop feedback system. Increasing the update frequency of the QR code encoded in the monitoring device (such as 1Hz) can ensure that the monitoring device is always dynamically adjusted according to the monitoring needs.

[0131] The present invention also provides a data processing system based on the full-time and space monitoring device, please refer to Figure 4 As shown, including:

[0132] A data acquisition module acquires target data from the positioning and orientation module in real time, and obtains a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the location information and / or posture information of the monitoring device;

[0133] An encoding module, encoding the data set to generate a QR code;

[0134] An image processing module superimposes the QR code onto a monitoring screen in the form of an image to obtain a target monitoring screen;

[0135] The transmission module encodes the target monitoring picture to obtain a video data stream, and sends it to the background server for parsing and processing.

[0136] Further, the location information of the monitoring device obtained in the data acquisition module specifically includes at least one of the longitude of the monitoring device, the latitude of the monitoring device and the altitude of the monitoring device, and the posture information of the monitoring device specifically includes at least one of the pitch angle of the monitoring device, the roll angle of the monitoring device, the azimuth angle of the monitoring device and the movement speed of the monitoring device;

[0137] The target data also includes at least one of the current date, the current time, the number of satellites, the dual antenna distance and the error factor.

[0138] Furthermore, the encoding module specifically includes:

[0139] Formatting the data set according to a preset conversion rule to obtain formatted data;

[0140] The formatted data is encoded to generate a two-dimensional code.

[0141] The present invention also provides a data analysis system based on full-time and space monitoring equipment, please refer to Figure 5 As shown, including:

[0142] A receiving module receives the video data stream sent by the monitoring device in real time;

[0143] A video decoding module is used to decode the video data stream and extract any frame of image;

[0144] A data parsing module extracts the QR code in the frame image and parses it to obtain the data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device.

[0145] Furthermore, the data analysis module specifically includes:

[0146] Extracting the two-dimensional code in the frame image, and identifying formatted data in the two-dimensional code;

[0147] The formatted data is parsed according to preset conversion rules to obtain a data set.

[0148] Furthermore, the data analysis module specifically includes:

[0149] De-noising, contrast enhancement and edge detection are performed on the frame image to obtain a target frame image, and the two-dimensional code in the target frame image is extracted.

[0150] Furthermore, the data analysis module specifically includes:

[0151] The two-dimensional code in the target frame image is located and segmented through template matching or feature point detection.

[0152] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A data processing method for a full-time and space monitoring device, characterized in that: include: Acquire target data from the positioning and orientation module of the monitoring device in real time, and obtain a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the position information and / or posture information of the monitoring device; Encoding the data set to generate a QR code; The QR code is superimposed on the monitoring screen in the form of an image to obtain a target monitoring screen; The target monitoring screen is encoded to obtain a video data stream, and sent to a background server for parsing and processing.

2. The data processing method of the full-time and space monitoring device according to claim 1 is characterized in that: The location information of the monitoring device is at least one of the longitude of the monitoring device, the latitude of the monitoring device and the altitude of the monitoring device, and the posture information of the monitoring device is at least one of the pitch angle of the monitoring device, the roll angle of the monitoring device, the azimuth angle of the monitoring device and the movement speed of the monitoring device; The target data also includes at least one of the current date, the current time, the number of satellites, the dual antenna distance and the error factor.

3. The data processing method of the full-time and space monitoring device according to claim 1 is characterized in that: Encoding the data set to generate a QR code includes: Formatting the data set according to a preset conversion rule to obtain formatted data; The formatted data is encoded to generate a two-dimensional code.

4. A data analysis method for a full-time and space monitoring device, characterized in that: include: Receive video data streams sent by monitoring equipment in real time; Decoding the video data stream and extracting any frame of image; The two-dimensional code in the frame image is extracted and parsed to obtain a data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device.

5. The data analysis method of the full-time and space monitoring device according to claim 4 is characterized in that: Extracting the two-dimensional code in the frame image and parsing to obtain the data set includes: Extracting the two-dimensional code in the frame image, and identifying formatted data in the two-dimensional code; The formatted data is parsed according to preset conversion rules to obtain a data set.

6. The data analysis method of the full-time and space monitoring device according to claim 5 is characterized in that: Extracting the two-dimensional code in the frame image includes: De-noising, contrast enhancement and edge detection are performed on the frame image to obtain a target frame image, and the two-dimensional code in the target frame image is extracted.

7. The data analysis method of the full-time and space monitoring device according to claim 6 is characterized in that: Extracting the two-dimensional code in the target frame image includes: The two-dimensional code in the target frame image is located and segmented through template matching or feature point detection.

8. A tracking camera method based on a full-time and space monitoring device, characterized in that: include: Acquire the data set obtained by parsing as claimed in claims 4 to 7 in real time; Determine the current posture information and current position information of the monitoring device according to the data set, compare the current posture with the preset target posture, and determine the posture difference; Compare the current position with the preset target position to determine the position difference; The posture and position of the monitoring device are adjusted according to the posture difference and position difference.

9. A data processing system based on full-time and space monitoring equipment, characterized in that: include: A data acquisition module acquires target data from the positioning and orientation module in real time, and obtains a data set in combination with the firmware version number and / or the current magnification of the monitoring device, wherein the target data represents the location information and / or posture information of the monitoring device; An encoding module, encoding the data set to generate a QR code; An image processing module superimposes the QR code onto a monitoring screen in the form of an image to obtain a target monitoring screen; The transmission module encodes the target monitoring picture to obtain a video data stream, and sends it to the background server for parsing and processing.

10. The data analysis system based on the full-time and space monitoring equipment is characterized by: include: A receiving module receives the video data stream sent by the monitoring device in real time; A video decoding module is used to decode the video data stream and extract any frame of image; A data parsing module extracts the QR code in the frame image and parses it to obtain the data set, wherein the data set represents the location information and / or posture information of the monitoring device, as well as the firmware version number and / or current magnification of the monitoring device.

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