A signal consistency comparison method based on multidimensional space combination

Abstract

The present invention provides a signal consistency comparison method for multi-dimensional space combination, comprising the following steps: Step 1: Based on multi-screen segmentation, multi-channel audio and video signals are spatially combined to form a single-channel spliced ​​signal, and the spatial position of the multi-screen segmentation is obtained and saved; Step 2: The single-channel spliced ​​signal is collected to obtain original signal data, and if the signal is a compressed stream, it is decoded to obtain the decoded original signal data; Step 3: The obtained original signal data is copied to form two identical data, one data is subjected to signal content detection, and the other data is subjected to signal comparison, and an alarm is issued when there is a fault in the signal content or the signal comparison is inconsistent; Step 4: Alarm information is obtained, and arbitration switching is performed according to the alarm information. The present invention greatly reduces the construction cost of the system, reduces the problem of safe broadcast accidents caused by untimely processing after the occurrence of a fault, improves the safety of the entire system, and reduces labor costs.

Description

Technical Field

[0001] The present invention belongs to the technical field of broadcasting and television, and in particular relates to a signal consistency comparison method for a multi-dimensional space combination. Background Art

[0002] In the current master control system construction, in order to ensure the broadcast safety to the greatest extent, it is necessary to test the audio and video content of all signals, and test them one by one. The number of signal channels in the master control system is large. Taking the current existing detection equipment as an example, a single device supports the detection of 8 channels of signals. When testing 1,000 channels of master control signals, 125 devices are required to meet the requirements. Both the hardware cost and the software cost increase significantly, resulting in a significant increase in the cost of the entire construction plan. In order to meet the requirements of broadcast safety, the commonly used method is for staff on duty to check the signals in real time, and they rely entirely on the staff on duty to check the signals in real time. Another part uses signal detection software, applies software and hardware to detect the signals, and uses random polling to detect the signals in real time. The above detection method has the following problems:

[0003] 1. If each signal needs to be detected in real time and an independent channel is used for detection, the cost of building the entire system will be extremely high, and software maintenance and personnel management will also cause great costs.

[0004] 2. The manual review method is highly dependent on people and personal abilities, and is more likely to be missed when problems occur.

[0005] 3. When polling is used to detect all signals of the master control, many signals may not be detected, resulting in untimely alarm after a fault occurs, or the fault has been restored when the signal is detected, which may easily cause broadcast accidents. Summary of the Invention

[0006] The purpose of the present invention is to propose a signal consistency comparison method of multi-dimensional space combination to solve the above technical problems.

[0007] In order to achieve the above object, the technical solution of the present invention is:

[0008] The present invention discloses a signal consistency comparison method for multidimensional space combination, which comprises the following steps:

[0009] Step 1: Based on multi-screen segmentation, multiple channels of video and audio signals are spatially combined to form a single-channel spliced ​​signal, and the spatial positions of the multi-screen segmentation of the multiple channels of video and audio signals are obtained and saved;

[0010] Step 2: Collect the single-channel spliced ​​signal to obtain the original signal data. If the signal is a compressed stream, decode it to obtain the decoded original signal data;

[0011] Step 3: Duplicate the acquired original signal data to form two identical copies of data. One copy is used for signal content detection, and the other copy is used for signal comparison. If there is a fault in the signal content or the signal comparison is inconsistent, an alarm will be issued.

[0012] Step 4: Obtain alarm information and perform arbitration switching based on the alarm information.

[0013] Furthermore, the specific steps of the signal content detection in step 3 are:

[0014] Step 31: Segment the screen based on the spatial positions of the stored multi-channel video and audio signals, and read the overall length and width of the segmented screen as X and Y respectively;

[0015] Step 32: Based on the spatial positions of the saved multi-channel audio and video signals, the coordinates of each signal are calculated and the spatial position of the single-channel spliced ​​signal is restored, and the spliced ​​image is displayed on the small window;

[0016] Step 33: Segment the acquired original signal data according to the restored spatial position of the single-channel spliced ​​signal;

[0017] Step 34: Process the segmented images separately, detect the signal content, and issue an alarm when a fault is detected in the signal content.

[0018] Furthermore, the specific process of restoring the single-channel spliced ​​signal in step 32 is as follows:

[0019] 1) The length and width of the entire image are X and Y respectively. Find the rectangular spatial positions of all signals with a vertical coordinate of 0 and verify that the positions of all rectangular spatial positions with a vertical coordinate of 0 satisfy X = X1 + X2 + X3 ... + Xm, where m is the number of rectangular spaces with a vertical coordinate of 0 and Xm is the length of the mth rectangular space with a vertical coordinate of 0 in the horizontal direction;

[0020] 2) Arrange all the positions of the image with 0 in the vertical coordinate from small to large;

[0021] 3) Find the rectangular spatial positions of all signals with a horizontal coordinate of 0, and verify that the rectangular spatial positions of all signals with a horizontal coordinate of 0 must satisfy Y = Y1 + Y2 + Y3 ... + Yn, where n is the number of rectangular spaces with a horizontal coordinate of 0, and Yn is the width of the nth rectangular space with a horizontal coordinate of 0 in the vertical direction;

[0022] 4) Arrange all the image positions whose horizontal coordinates contain 0 in ascending order;

[0023] 5) Place the remaining spatial positions on the corresponding spatial coordinate axes.

[0024] Furthermore, the specific steps of the signal comparison in step 3 are:

[0025] Step 35: Extract fingerprints from the original signal data, and use a comparison algorithm to compare the fingerprint information of the primary and backup spliced ​​signals in real time. When inconsistency is detected, determine the location of the inconsistency.

[0026] Step 36: Perform regional consistency comparison on the segmented images;

[0027] Step 37: Based on the regional comparison results, calculate whether the overall image is consistent;

[0028] Step 38: Compare the boundary coordinate points of the inconsistent image area determined in step 35 with the spatial positions of the stored multi-channel audio and video signals to determine which signal of the multi-channel audio and video signals the inconsistent image area corresponds to, and issue an alarm.

[0029] Furthermore, the specific process of determining the position of the inconsistent images in step 35 is as follows:

[0030] 1) The length and width of the entire image are X and Y respectively. The position of the pixel with inconsistent length and width percentages is determined through the data fed back by the bottom layer.

[0031] 2) Calculate the inconsistent area of ​​the picture by the length and width of the whole picture, and determine the boundary coordinate points of the inconsistent area of ​​the picture.

[0032] The beneficial effects of the present invention are as follows: the present invention greatly reduces the construction cost of the system by performing signal consistency comparison in a multi-dimensional space combination manner, can perform real-time detection and comparison of all signals in the entire system, reduces the problem of safety broadcast accidents caused by untimely processing after a fault occurs, improves the safety of the entire system, and replaces dependence on manual labor, greatly reducing labor costs.

[0033] The present invention is further described in detail below with reference to the accompanying drawings and examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A flow chart of a signal consistency comparison method for a multi-dimensional space combination;

[0035] Figure 2 Schematic diagram for determining the position of inconsistent regions. DETAILED DESCRIPTION

[0036] The present invention discloses a signal consistency comparison method of multi-dimensional space combination, such as Figure 1 As shown, the method includes the following steps:

[0037] Step 1: Use a multi-screen splitter to spatially combine multiple audio and video signals. The combined image forms a single-channel spliced ​​signal and is transmitted to the consistency comparison device. At the same time, the spatial combination plan is sent to the consistency comparison device. The consistency comparison device obtains the configuration on the multi-screen splitter and saves the spatial position of the multi-screen split of the multiple audio and video signals to the database.

[0038] Step 2: The consistency comparison device collects the single-channel spliced ​​signal to obtain the original signal data. If the signal is a compressed stream, it is decoded to obtain the decoded original signal data.

[0039] Step 3: Duplicate the acquired original signal data to form two identical copies of data. One copy is used for signal content detection, and the other copy is used for signal comparison. An alarm is issued if there is a fault in the signal content or the signal comparison is inconsistent.

[0040] The specific steps of the signal content detection are:

[0041] Step 31: Segment the image based on the spatial positions of the multiple audio and video signals stored in the database, and read the length and width of the segmented image as X and Y respectively;

[0042] Step 32: Based on the spatial positions of the saved multi-channel audio and video signals, the coordinates of each signal are calculated and the spatial position of the single-channel spliced ​​signal is restored, and the spliced ​​image is displayed on the small window;

[0043] The specific process of restoring the spatial position of a single-channel splicing signal is as follows:

[0044] 1) The length and width of the entire image are X and Y respectively. Find the rectangular spatial positions of all signals with a vertical coordinate of 0 and verify that the positions of all rectangular spatial positions with a vertical coordinate of 0 satisfy X = X1 + X2 + X3 ... + Xm, where m is the number of rectangular spaces with a vertical coordinate of 0 and Xm is the length of the mth rectangular space with a vertical coordinate of 0 in the horizontal direction;

[0045] 2) Arrange all the positions of the image with 0 in the vertical coordinate from small to large;

[0046] 3) Find the rectangular spatial positions of all signals with a horizontal coordinate of 0, and verify that the rectangular spatial positions of all signals with a horizontal coordinate of 0 must satisfy Y = Y1 + Y2 + Y3 ... + Yn, where n is the number of rectangular spaces with a horizontal coordinate of 0, and Yn is the width of the nth rectangular space with a horizontal coordinate of 0 in the vertical direction;

[0047] 4) Arrange all the image positions whose horizontal coordinates contain 0 in ascending order;

[0048] 5) Place the remaining spatial positions on the corresponding spatial coordinate axes;

[0049] Step 33: Segment the acquired original signal data according to the restored spatial position of the single-channel spliced ​​signal;

[0050] Step 34: The segmented data is processed separately, using a multi-threaded approach and a technical review algorithm to detect the signal content, and an alarm is issued when a fault is detected in the signal content.

[0051] The specific steps of signal comparison are:

[0052] Step 35: Extract fingerprints from the original signal data, and use a comparison algorithm to compare the fingerprint information of the primary and backup spliced ​​signals in real time. When an image inconsistency is detected, determine the location of the inconsistency.

[0053] The specific process of determining the position of the inconsistent images is as follows:

[0054] 1) The length and width of the entire image are X and Y respectively. The position of the pixel with inconsistent length and width percentages is determined through the data fed back by the bottom layer.

[0055] 2) Calculate the inconsistent area of ​​the picture by the length and width of the whole picture, and determine the boundary coordinate points of the inconsistent area of ​​the picture (x1, y1), (x2, y1), (x1, y2), (x2, y2), such as Figure 2 As shown;

[0056] Step 36: Perform regional consistency comparison on the segmented images;

[0057] Step 37: Based on the regional comparison results, calculate whether the overall image is consistent;

[0058] Step 38: Compare the boundary coordinate points of the inconsistent image area determined in step 35 with the spatial positions of the stored multi-channel audio and video signals to determine which signal of the multi-channel audio and video signals the inconsistent image area corresponds to, and issue an alarm.

[0059] Step 4: Acquire alarm information, conduct arbitration based on the acquired alarm information, and notify the faulty channel to automatically switch to the fault-free backup channel based on the arbitration result.

[0060] Among them, the consistency comparison device is a computer installed with consistency comparison software, which can realize functions such as signal acquisition, decoding, transmission, detection and comparison.

[0061] The present invention detects and compares the spatially combined signals in real time and quickly locates the signal fault point according to the spatial position, thereby enabling timely switching to avoid broadcast accidents.

[0062] Finally, it should be noted that the above description is only used to illustrate the technical solution of the present invention and is not intended to limit it. Although the present invention has been described in detail with reference to the preferred arrangement scheme, those skilled in the art should understand that the technical solution of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A signal consistency comparison method for multidimensional space combination, characterized in that: The method comprises the following steps: Step 1: Based on multi-screen segmentation, multiple channels of video and audio signals are spatially combined to form a single-channel spliced ​​signal, and the spatial positions of the multi-screen segmentation of the multiple channels of video and audio signals are obtained and saved; Step 2: Collect the single-channel spliced ​​signal to obtain the original signal data. If the signal is a compressed stream, decode it to obtain the decoded original signal data; Step 3: Duplicate the acquired original signal data to form two identical copies of data. One copy is used for signal content detection, and the other copy is used for signal comparison. If there is a fault in the signal content or the signal comparison is inconsistent, an alarm will be issued. The specific steps of the signal content detection are: Step 31: Segment the screen based on the spatial positions of the stored multi-channel video and audio signals, and read the overall length and width of the segmented screen as X and Y respectively; Step 32: Based on the spatial positions of the saved multi-channel audio and video signals, the coordinates of each signal are calculated and the spatial position of the single-channel spliced ​​signal is restored, and the spliced ​​image is displayed on the small window; Step 33: Segment the acquired original signal data according to the restored spatial position of the single-channel spliced ​​signal; Step 34: Process the segmented images separately, detect the signal content, and issue an alarm if a fault is detected in the signal content; The specific steps of the signal comparison are: Step 35: Extract fingerprints from the original signal data, and use a comparison algorithm to compare the fingerprint information of the primary and backup spliced ​​signals in real time. When inconsistency is detected, determine the location of the inconsistency. Step 36: Perform regional consistency comparison on the segmented images; Step 37: Based on the regional comparison results, calculate whether the overall image is consistent; Step 38: Compare the boundary coordinates of the image inconsistency region determined in step 35 with the spatial positions of the stored multiple-channel video and audio signals to determine which of the multiple-channel video and audio signals the image inconsistency region corresponds to, and generate an alarm. Step 4: Obtain alarm information and perform arbitration switching based on the alarm information.

2. The signal consistency comparison method of a multidimensional space combination according to claim 1, characterized in that: The specific process of restoring the single-channel spliced ​​signal in step 32 is as follows: 1) The length and width of the entire image are X and Y respectively. Find the rectangular spatial positions of all signals with a vertical coordinate of 0 and verify that the positions of all rectangular spatial positions with a vertical coordinate of 0 conform to X = X1 + X2 + X3… + Xm, where m is the number of rectangular spaces with a vertical coordinate of 0 and Xm is the length of the mth rectangular space with a vertical coordinate of 0 in the horizontal direction. 2) Arrange all the positions of the image with a 0 in the vertical coordinate in ascending order; 3) Find the rectangular spatial positions of all signals with a horizontal coordinate of 0, and verify that the rectangular spatial positions of all signals with a horizontal coordinate of 0 must satisfy Y=Y1+Y2+Y3…+Yn, where n is the number of rectangular spaces with a horizontal coordinate of 0, and Yn is the width of the nth rectangular space with a horizontal coordinate of 0 in the vertical direction; 4) Arrange all the positions of the screen with the horizontal coordinate containing 0 in ascending order; 5) Place the remaining spatial positions on the corresponding spatial coordinate axes.

3. The signal consistency comparison method of a multidimensional space combination according to claim 1, characterized in that: The specific process of determining the position of the inconsistent images in step 35 is as follows: 1) The length and width of the entire image are X and Y respectively. The position of the pixel with inconsistent length and width percentages is determined through the data fed back by the underlying layer. 2) Calculate the inconsistent area of ​​the picture by the length and width of the entire picture, and determine the boundary coordinate points of the inconsistent area of ​​the picture.

Images