CN113472466A - Black broadcast monitoring system based on emergency broadcast system - Google Patents
Black broadcast monitoring system based on emergency broadcast system Download PDFInfo
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- H—ELECTRICITY
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- H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
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Abstract
The invention provides a black broadcast monitoring system based on an emergency broadcast system, which comprises: the broadcast monitoring receiving module is arranged on each emergency broadcast terminal and used for receiving the broadcast frequency point signals and generating monitoring data; monitoring data are transmitted to an emergency broadcast control center through an emergency broadcast terminal through an emergency broadcast communication network; set up in emergency broadcast control center's black broadcast detection module, emergency broadcast control center sends the monitoring data who receives to black broadcast detection module, and black broadcast detection module compares the processing in order to discover black broadcast to monitoring data. On the basis of an emergency broadcast network in county and country, certain new equipment is properly added on the basis of a basic emergency broadcast network and equipment, so that the equipment has the black broadcast monitoring capability. Therefore, the existing emergency broadcast communication network can be used, the black broadcast monitoring covers vast rural areas and remote areas, the existing infrastructure can be utilized to the maximum extent, and the system construction cost is saved.
Description
Technical Field
The invention relates to the technical field of black broadcast monitoring, in particular to a black broadcast monitoring system based on an emergency broadcast system.
Background
In recent years, with the development of radio technology, illegal broadcasting stations (commonly referred to as "black broadcasting") have been frequently produced. The black broadcasting not only occupies radio frequency spectrum and disturbs radio management order, but also plays bad information, and harms the health of people, even harms social stability and national security. Therefore, it is necessary to monitor and attack black broadcasting, but this also requires corresponding technical means as a support.
Because rural areas have relatively weak infrastructure and are relatively low in public awareness, the rural areas are likely to become blind spots for black broadcast monitoring compared with urban areas. The system is based on the emergency broadcast network in county and county villages aiming at the problem of black broadcast monitoring, and a certain amount of new equipment is properly added on the basis of the basic emergency broadcast network and equipment, so that the system has the black broadcast monitoring capability. Therefore, the existing emergency broadcast communication network can be used, the black broadcast monitoring covers vast rural areas and remote areas, the existing infrastructure can be utilized to the maximum extent, and the system construction cost is saved.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a black broadcast monitoring system based on an emergency broadcast system, which constructs a black broadcast monitoring big data system covering counties and villages through the deep fusion of the black broadcast monitoring system and the emergency broadcast system, and provides black broadcast monitoring service.
The technical scheme adopted by the invention is as follows: a black broadcasting monitoring system based on an emergency broadcasting system, comprising:
the broadcast monitoring receiving module is arranged on each emergency broadcast terminal and used for receiving the broadcast frequency point signals and generating monitoring data; monitoring data are transmitted to an emergency broadcast control center through an emergency broadcast terminal through an emergency broadcast communication network;
set up in emergency broadcast control center's black broadcast detection module, emergency broadcast control center sends the monitoring data who receives to black broadcast detection module, and black broadcast detection module compares the processing in order to discover black broadcast to monitoring data.
The broadcast monitoring receiving module comprises a signal demodulation module, an antenna module, a control module, a communication module and a bus interface; the control module is respectively connected with the signal demodulation module, the antenna module and the communication module, the communication module is connected with the bus interface, and the broadcast monitoring and receiving module carries out data transmission with the emergency broadcast terminal through the bus interface.
Further, the specific working process of the broadcast monitoring module is as follows: initializing and generating the equipment number of the broadcast monitoring receiving module; the method comprises the steps of receiving data of each broadcast frequency point, recording monitored broadcast frequency point numbers, broadcast data received correspondingly and monitoring time, generating monitoring data comprising broadcast monitoring receiving module equipment numbers, monitoring time, broadcast frequency points and broadcast data received correspondingly, and sending the monitoring data to an emergency broadcast control center through an emergency broadcast communication network.
Further, the specific working process of the black broadcast detection module is as follows: and processing and summarizing the monitoring data transmitted from different receiving modules to form paired data, comparing the consistency of the paired data, and judging whether black broadcasting exists or not.
Further, the specific process of the summary is as follows:
step 1, performing preliminary grouping on received monitoring data according to broadcast frequency points, grouping the data with the same broadcast frequency points into a group, abstracting the format into a key-value format, wherein the key represents the broadcast frequency points, and the value is a list comprising monitoring time, broadcast monitoring receiving module equipment numbers and broadcast data;
step 2, sequencing a value list in each broadcast frequency point from first to last according to monitoring time;
step 3, dividing the value list from the minimum monitoring time according to the sorted monitoring time to form a plurality of sub-lists; in the sub-list, the difference between the minimum monitoring time and the maximum monitoring time is less than 10 seconds, and in the different sub-lists, the difference between any two monitoring times is greater than 10 seconds.
Step 4, assembling all the sub-lists and the corresponding broadcast frequency points to form a new sub-list; all new sub-lists are combined to form pairing data.
Further, the specific process of performing consistency comparison on the paired data comprises the steps of calculating the similarity of any two broadcast data in one sub-group of the paired data, and performing similarity judgment; if any two data in the sub-packet are not similar, the data is abnormal, and a black broadcast phenomenon exists.
Further, the specific process of the similarity determination is as follows:
1) any two broadcast data in one sub-group of the paired data are recorded as data1 and data 2; intercepting 20 seconds of data in the middle of the broadcast data1 and recording as data 3;
2) calculating frequency centroid characteristics of the data2 and the data3, wherein the frequency centroid characteristics are SC2 and SC3 respectively, and the frequency centroid characteristic data format is a one-dimensional array;
3) from the first element in SC2, taking a sub-array with the length equal to SC3 for comparison, and sequentially calculating the similarity between SC3 and the taken sub-array; judging whether the data1 and the data2 are similar according to the maximum value of the similarity, and if the maximum value of the similarity is larger than a threshold value, indicating that the data1 is similar to the data 2; otherwise, it means that data1 is not similar to data 2.
Further, the frequency is calculated by:
where f (n) is the audio signal frequency, i.e. the corresponding value of each element in the data; e (n) is the spectral energy of the corresponding frequency after short-time fourier transform of the continuous time domain signal x (t).
Further, the similarity calculation method includes:
wherein, A is the frequency centroid characteristic SC3 of the data3, and B is a sub-array with the length equal to SC3 taken out of SC 2.
Compared with the prior art, the beneficial effects of adopting the technical scheme are as follows: the emergency broadcast platform for counties, villages and villages can have the function of black broadcast monitoring. Therefore, the problem that infrastructure in rural areas is relatively weak and is easy to become a blind spot for monitoring the black broadcast is solved. In addition, the scheme is based on the county and country emergency broadcast network, and a certain amount of new equipment is properly added on the basis of the basic emergency broadcast network and the equipment, so that the system has the black broadcast monitoring capability. Therefore, the existing emergency broadcast communication network can be used, the black broadcast monitoring covers vast rural areas and remote areas, the existing infrastructure can be utilized to the maximum extent, and the system construction cost is saved.
Drawings
Fig. 1 is a schematic diagram of a black broadcast monitoring system based on an emergency broadcast system according to the present invention.
Fig. 2 is a schematic diagram of a signal monitoring module depending on an emergency broadcast terminal.
Fig. 3 is a flowchart of summary processing of detection data in the black broadcast detection module according to the present invention.
Fig. 4 is a flowchart of consistency comparison in the black broadcast detection module of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
As shown in fig. 1, the invention provides a black broadcast monitoring system based on an emergency broadcast system, which relies on a basic emergency broadcast network and equipment in county and county, and on the basis of the basic emergency broadcast network and equipment, new equipment is properly added, so that the black broadcast monitoring system has the black broadcast monitoring capability. Therefore, the existing emergency broadcast communication network can be used, the black broadcast monitoring covers vast rural areas and remote areas, the existing infrastructure can be utilized to the maximum extent, and the system construction cost is saved. The specific scheme is as follows:
as shown in fig. 2, the broadcast monitoring receiving module disposed at each emergency broadcast terminal receives a signal of a broadcast frequency point and generates monitoring data; monitoring data are transmitted to an emergency broadcast control center through an emergency broadcast terminal through an emergency broadcast communication network;
set up in emergency broadcast control center's black broadcast detection module, emergency broadcast control center sends the monitoring data who receives to black broadcast detection module, and black broadcast detection module compares the processing in order to discover black broadcast to monitoring data.
The broadcast monitoring receiving module comprises a signal demodulation module, an antenna module, a control module, a communication module and a bus interface; the control module is respectively connected with the signal demodulation module, the antenna module and the communication module, the communication module is connected with the bus interface, and the broadcast monitoring and receiving module carries out data transmission with the emergency broadcast terminal through the bus interface. The emergency broadcast terminal comprises an emergency broadcast function related module, a 4G module and a storage module, and monitoring data generated by the broadcast monitoring receiving module can be stored in the storage module of the emergency broadcast terminal.
Specifically, as shown in fig. 3, the working process of the broadcast monitoring module is as follows:
s1: when the monitoring receiving module is started, the equipment number eq _ id is initialized. The device number is a number solidified when leaving the factory, and is an identifier of the device, and through the device number, it can be known from which device the broadcast monitoring data is received.
S2: when the monitoring receiving module starts to work, the monitoring receiving module receives data of a plurality of broadcast frequency points, records the currently monitored broadcast frequency point through brd _ fre, and records the broadcast data corresponding to the frequency point through the data. The data has a duration of 60 seconds.
S3: likewise, the time to listen brd _ fre to the broadcast frequency point is recorded. Thus, (eq _ id, brd _ fre, time, data) forms a record, i.e. monitoring data, about the broadcast frequency point brd _ fre playing the content data in the time period of the position of the listening device eq _ id. This record is the basis for determining whether the black broadcast is present in the black broadcast monitoring module.
S4: transmitting the monitoring data (eq _ id, brd _ fre, time, data) to an emergency broadcast control center through an emergency broadcast communication network, and further transmitting to a black broadcast detection module.
The specific working process of the black broadcast detection module is as follows: and processing and summarizing the monitoring data transmitted from different receiving modules to form paired data, comparing the consistency of the paired data, and judging whether black broadcasting exists or not.
Specifically, in the black broadcast detection module, data (eq _ id, brd _ fre, time, data) transmitted from different receiving modules are summarized to form paired data. The format of elements in the queuing data is as follows: (brd _ fre, ((eq _ id1, time1, data1), (eq _ id2, time2, data2),........... -, (eq _ idN, timeN, dataN))), meaning: for signals of a frequency point brd _ fre, records are recorded in receiving stations eq _ id1, eq _ id2, and eq _ idN, the recorded times are time1, time2, and the recorded times are approximately consistent; and carrying out consistency comparison on the paired data. If the signals are inconsistent, the same frequency point brd _ fre is indicated, and at the same time, the signals received by different monitoring receivers are inconsistent, and abnormal conditions such as frequency point interference, frequency point occupation and the like are likely to be received, and a black broadcast phenomenon is likely to exist, and further checking is needed.
In a preferred embodiment, the summary processing procedure in the black broadcast detection module is as follows:
step 1, receiving data transmitted by the receivers from the monitoring nodes at a black broadcast detection module, and forming a list about (eq _ id, brd _ fre, time, data).
Step 2: the preliminary grouping is done according to brd _ fre, and data with the same brd _ fre are temporarily grouped into the same group, and the format abstraction is: < key, value >, where key is brd _ fre and value is a list of a series of elements (time, eq _ id, data).
And 3, step 3: the value list is ordered, with the ordering following the time from first to last.
And 4, step 4: and (4) according to the value of time in each element of the value list, dividing to form a plurality of sub-lists. The basis of the segmentation is as follows: in the same sublist, the difference between the smallest time (representing the earliest received data) and the largest time (representing the latest received data) is less than 10 seconds; in the different sub-lists, any two times differ by more than 10 seconds.
And 5, step 5: the pairing list is reassembled. That is, each sub-list ((time1, eq _ id1, data1), (time2, eq _ id2, data2),... times.) formed in step 4 is assembled with its corresponding brd _ fre to form a new sub-list ((brd _ fre, time1, eq _ id1, data1), (brd _ fre, time2, eq _ id2, data2),... times.).
And 6, step 6: all sublist sequences combine to form paired data for subsequent comparative analysis.
In a preferred embodiment, as shown in fig. 4, the specific process of consistency comparison in the black broadcast detection module is as follows:
step 1: and cutting the data. Taking the middle part of the data1 data, because the time length of each data recording of the broadcast monitoring receiving module is 60 seconds, considering the asynchronous condition of each receiving module, intercepting the middle 20 seconds of data for the data1, namely extracting the part ending from 20 seconds to 40 seconds, and representing the part as data 3.
Step 2: and extracting the characteristics of the data. The characteristic here refers to the frequency centroid characteristic, and the extraction formula is as follows:
wherein, f (n) is the audio signal frequency, i.e. the corresponding value of each element of data; e (n) is the spectral energy of the corresponding frequency after short-time fourier transform of the continuous time domain signal x (t). SC is the frequency centroid characteristic, and the data format is a one-dimensional array.
Extracting features of the data2, and marking as SC 2; and extracting features from the data3, and marking as SC 3.
And 3, step 3: from the first element of SC2, string SC4, which has the same length as SC3, is compared. The comparison method is to calculate the correlation between SC3 and SC4, and to mark SC3 as array A and SC4 as array B, the calculation formula of the design similarity is as follows:
traversing all sub-arrays in the SC2 with the same length as the SC3, obtaining a series of similarities (s1, s2, s 3..) by the above formula, and taking the maximum value max _ sim ═ max (s1, s2, s 3.). max _ sim is the similarity of the data1 and data 2.
And 4, step 4: a decision is made as to whether data1 and data2 are similar. The judgment rule is as follows:
and 5, step 5: and comprehensively judging whether suspected black broadcasting exists. If a pair of dissimilar conditions exist in the data to be compared (data1, data2, data).
By adopting the technical scheme of the invention, the county, county and village-level emergency broadcast platform can have the black broadcast monitoring function. Therefore, the problem that infrastructure in rural areas is relatively weak and is easy to become a blind spot for monitoring the black broadcast is solved. In addition, the scheme is based on the county and country emergency broadcast network, and a certain amount of new equipment is properly added on the basis of the basic emergency broadcast network and the equipment, so that the system has the black broadcast monitoring capability. Therefore, the existing emergency broadcast communication network can be used, the black broadcast monitoring covers vast rural areas and remote areas, the existing infrastructure can be utilized to the maximum extent, and the system construction cost is saved.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed. Those skilled in the art to which the invention pertains will appreciate that insubstantial changes or modifications can be made without departing from the spirit of the invention as defined by the appended claims.
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
Any feature disclosed in this specification may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
Claims (9)
1. A black broadcasting monitoring system based on an emergency broadcasting system, comprising:
the broadcast monitoring receiving module is arranged on each emergency broadcast terminal and used for receiving the broadcast frequency point signals and generating monitoring data; monitoring data are transmitted to an emergency broadcast control center through an emergency broadcast terminal through an emergency broadcast communication network;
set up in emergency broadcast control center's black broadcast detection module, emergency broadcast control center sends the monitoring data who receives to black broadcast detection module, and black broadcast detection module compares the processing in order to discover black broadcast to monitoring data.
2. The black broadcasting monitoring system of the emergency broadcasting system according to claim 1, wherein the broadcasting monitoring receiving module comprises a signal demodulating module, an antenna module, a control module, a communication module, a bus interface;
the control module is respectively connected with the signal demodulation module, the antenna module and the communication module, the communication module is connected with the bus interface, and the broadcast monitoring and receiving module carries out data transmission with the emergency broadcast terminal through the bus interface.
3. The black broadcast monitoring system of the emergency broadcast system according to claim 2, wherein the broadcast monitoring module specifically works in the following steps: initializing and generating the equipment number of the broadcast monitoring receiving module; the method comprises the steps of receiving data of each broadcast frequency point, recording monitored broadcast frequency point numbers, broadcast data received correspondingly and monitoring time, generating monitoring data comprising broadcast monitoring receiving module equipment numbers, monitoring time, broadcast frequency points and broadcast data received correspondingly, and sending the monitoring data to an emergency broadcast control center through an emergency broadcast communication network.
4. The black broadcast monitoring system of the emergency broadcasting system according to claim 3, wherein the black broadcast detecting module specifically operates as follows: and processing and summarizing the monitoring data transmitted from different receiving modules to form paired data, comparing the consistency of the paired data, and judging whether black broadcasting exists or not.
5. The black broadcast monitoring system of the emergency broadcast system according to claim 3 or 4, wherein the specific process of processing, summarizing and forming the pairing data is as follows:
step 1, performing preliminary grouping on received monitoring data according to broadcast frequency points, grouping the data with the same broadcast frequency points into a group, abstracting the format into a key-value format, wherein the key represents the broadcast frequency points, and the value is a list comprising monitoring time, broadcast monitoring receiving module equipment numbers and broadcast data;
step 2, sequencing a value list in each broadcast frequency point from first to last according to monitoring time;
step 3, dividing the value list from the minimum monitoring time according to the sorted monitoring time to form a plurality of sub-lists; in the sub-list, the difference between the minimum monitoring time and the maximum monitoring time is less than 10 seconds, and in the different sub-lists, the difference between any two monitoring times is greater than 10 seconds.
Step 4, assembling all the sub-lists and the corresponding broadcast frequency points to form a new sub-list; all new sub-lists are combined to form pairing data.
6. The black broadcast monitoring system of the emergency broadcasting system according to claim 5, wherein the matching data is compared for consistency by extracting features of two broadcast data in a sub-group of the matching data, calculating similarity, and performing similarity judgment; if any two data in the sub-packet are not similar, the data is abnormal, and the corresponding broadcast frequency point has a black broadcast phenomenon.
7. The black broadcast monitoring system of the emergency broadcast system according to claim 6, wherein the similarity determination is performed by:
1) any two broadcast data in one sub-group of the paired data are recorded as data1 and data 2; intercepting 20 seconds of data in the middle of the broadcast data1 and recording as data 3;
2) calculating frequency centroid characteristics of the data2 and the data3, wherein the frequency centroid characteristics are SC2 and SC3 respectively, and the frequency centroid characteristic data format is a one-dimensional array;
3) from the first element in SC2, taking a sub-array with the length equal to SC3 for comparison, and sequentially calculating the similarity between SC3 and the taken sub-array; judging whether the data1 and the data2 are similar according to the maximum value of the similarity, and if the maximum value of the similarity is larger than a threshold value, indicating that the data1 is similar to the data 2; otherwise, it means that data1 is not similar to data 2.
8. The black broadcasting monitoring system of the emergency broadcasting system as claimed in claim 7, wherein the frequency is calculated by:
where f (n) is the audio signal frequency, i.e. the corresponding value of each element in the data; e (n) is the spectral energy of the corresponding frequency after short-time fourier transform of the continuous time domain signal x (t).
9. The black broadcast monitoring system of the emergency broadcast system according to claim 7, wherein the similarity is calculated by:
wherein, A is the frequency centroid characteristic SC3 of the data3, and B is a sub-array with the length equal to SC3 taken out of SC 2.
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| CN202010744344.9A CN111669243A (en) | 2020-07-29 | 2020-07-29 | Black broadcast monitoring system based on emergency broadcast system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105872855A (en) * | 2016-05-26 | 2016-08-17 | 广州酷狗计算机科技有限公司 | Labeling method and device for video files |
| CN109949798A (en) * | 2019-01-03 | 2019-06-28 | 刘伯涵 | Commercial detection method and device based on audio |
| CN110085259A (en) * | 2019-05-07 | 2019-08-02 | 国家广播电视总局中央广播电视发射二台 | Audio comparison method, device and equipment |
-
2020
- 2020-07-29 CN CN202010744344.9A patent/CN111669243A/en not_active Withdrawn
-
2021
- 2021-06-16 CN CN202110666919.4A patent/CN113472466B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105872855A (en) * | 2016-05-26 | 2016-08-17 | 广州酷狗计算机科技有限公司 | Labeling method and device for video files |
| CN109949798A (en) * | 2019-01-03 | 2019-06-28 | 刘伯涵 | Commercial detection method and device based on audio |
| CN110085259A (en) * | 2019-05-07 | 2019-08-02 | 国家广播电视总局中央广播电视发射二台 | Audio comparison method, device and equipment |
Non-Patent Citations (4)
| Title |
|---|
| 刘钊: "基于内容的自适应音频水印算法研究", 中国优秀硕士学位论文全文数据库, no. 10 * |
| 王小稳: "一种音频比对算法", 科技创新导报, pages 141 * |
| 郑鑫 等: "基于应急广播系统的"黑广播"智能监测方案", 西部广播电视, pages 196 - 200 * |
| 高翔;郭蓉莹;: "语音识别技术在广播智能化监测领域的应用", 信息与电脑(理论版), no. 04 * |
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