CN210629544U - Network broadcasting system based on artificial intelligence - Google Patents
Network broadcasting system based on artificial intelligence Download PDFInfo
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- CN210629544U CN210629544U CN201922368677.1U CN201922368677U CN210629544U CN 210629544 U CN210629544 U CN 210629544U CN 201922368677 U CN201922368677 U CN 201922368677U CN 210629544 U CN210629544 U CN 210629544U
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Abstract
The utility model discloses a networked broadcasting system based on artificial intelligence, audio acquisition including the communication connection sends customer end, network service end and audio frequency receiving client, network service end includes core management module and synthesizes the operation module with the intelligence that core management module links to each other, the intelligence is synthesized the operation module and is connected with first artificial intelligence learning module, artificial intelligence algorithm module, intelligent data analysis module, intellectual detection system database storage module and first intellectual detection system collection module. The utility model provides a network based on artificial intelligence broadcast system can collect the daily operation of user in the use, formulate specific swift incident and instruction according to user's common habits for the user only need according to data analysis's result send whether the order of execution can, it is more intelligent for traditional broadcast system, also more humanized.
Description
Technical Field
The utility model belongs to the technical field of network broadcasting technique and specifically relates to a networked broadcasting system based on artificial intelligence is related to.
Background
At present, digital network broadcasting systems are realized based on manual programming and manual triggering execution program playing modes, managers need to spend a great deal of energy to carry out daily maintenance programming on timing tasks, the manual triggering tasks are limited to be temporary and cannot dynamically change the execution tasks according to environmental requirements, so that the maintenance work of the managers is huge and complicated, and the probability of errors caused by improper manual operation in the working process is increased. In addition, the traditional network broadcasting technology route is based on service-shaped network broadcasting, the dependence on a server and a network trunk line is extremely strong, once the network trunk line or the server fails, the whole area is paralyzed, and the use of a broadcasting system is influenced.
SUMMERY OF THE UTILITY MODEL
In order to solve the problem, the utility model provides a network broadcast system based on artificial intelligence can appoint specific swift incident and instruction according to user's custom commonly used, the user only need according to data analysis's result send whether the order of execution can, effectively simplified managers ' maintenance work.
The utility model discloses a realize above-mentioned purpose and specifically adopt following technical scheme:
the network broadcasting system comprises an audio acquisition and sending client, a network server and an audio receiving client which are in communication connection, wherein the network server comprises a core management module and an intelligent comprehensive operation module connected with the core management module, and the intelligent comprehensive operation module is connected with a first artificial intelligent learning module, an artificial intelligent algorithm module, an intelligent data analysis module, an intelligent detection database storage module and a first intelligent detection acquisition module.
Furthermore, the core management module is further connected with a broadcasting equipment logic management module, a broadcasting equipment streaming media management module, a first human-computer interaction module and a timing event management module, the broadcasting equipment logic management module and the broadcasting equipment streaming media management module are connected with a first network transmission module, and the first network transmission module is used for realizing data transmission with an audio acquisition generation client and an audio receiving client.
Furthermore, the audio acquisition and sending client is provided with a second network transmission module, the audio receiving client is provided with a third network transmission module, the first network transmission module realizes data transmission with the second network transmission module and the third network transmission module respectively, and the first network transmission module, the second network transmission module and the third network transmission module are wired network transmission modules or wireless network transmission modules.
Furthermore, data transmission is realized between the second network transmission module and the third network transmission module, the audio acquisition and sending client further comprises a first core logic manager, and the first core logic manager is connected with a human-computer interaction module, a second intelligent detection and acquisition module, a second artificial intelligent learning module, a first offline artificial intelligent algorithm module and an offline edge algorithm module.
Furthermore, the first core logic manager is connected with a first streaming media processor, the first streaming media processor is connected with an audio encoder, and the audio encoder is connected with a microphone or an analog audio module.
Furthermore, the audio receiving client further comprises a second core logic manager, an audio decoder and a loudspeaker which are sequentially connected, and the second core logic manager is further connected with a second artificial intelligence learning module, a second offline artificial intelligence algorithm, an offline edge algorithm and timing module, a local program library, a local database and a third intelligent detection and acquisition module.
Furthermore, the second core logic manager is also connected with a second streaming media processor, and the audio decoder is connected with the second streaming media processor.
Furthermore, a power amplification module is arranged between the audio decoder and the loudspeaker.
The utility model has the advantages as follows:
1. the utility model provides a networking broadcasting system based on artificial intelligence has introduced modules such as artificial intelligence algorithm module, artificial intelligence learning module, in the use, can collect user's daily operation, formulate specific swift incident and instruction according to user's commonly used custom, exempt from user's repetitive operation for the user only need send according to data analysis's result whether the order of execution can, it is more intelligent for traditional broadcasting system, also more humanized;
2. when the system is used, if a network server is crashed, the whole system cannot be directly crashed in a full disk manner like a traditional broadcasting system, the audio acquisition and transmission client can be separated from the network server, the system is formed by itself, and the audio to be played is directly transmitted to an audio receiving client as usual, so that the audio receiving client can normally work and broadcast;
3. when the network is completely broken down and the audio acquisition and transmission client, the network server and the audio receiving client are disconnected, the audio receiving client can independently broadcast according to the customary habit of the user by the local program library, the offline artificial intelligence algorithm module, the offline edge algorithm module, the timing module and the like of the audio receiving client, so that the basic function of the broadcasting system is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram of an overall connection structure of a broadcasting system provided by the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", and the like indicate the position or positional relationship based on the position or positional relationship shown in the drawings, or the position or positional relationship that the products of the present invention are conventionally placed when used, and are only for convenience of description and simplification of the description, but do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be further noted that, unless explicitly stated or limited otherwise, the terms "disposed" and "in communication" are to be interpreted broadly, e.g., as either fixed or removable communication, or integrally connected; either mechanically or electrically; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, the present embodiment provides an artificial intelligence based networked broadcasting system, which includes an audio collecting and sending client, a network server, and an audio receiving client connected in a communication manner, and is the same as a conventional broadcasting system, where the audio collecting and sending client is mainly used to collect and send audio to the network server, the network server processes the received audio and sends the audio to the audio sending client according to an instruction issued by a user, and controls the audio collecting and sending client and the audio sending client, and the audio sending client receives the instruction from the network server and plays a corresponding audio. In this embodiment, in order to make the operation of the whole broadcasting system more convenient and faster and reduce the error rate of manual operation, the network server further comprises a core management module and an intelligent comprehensive operation module connected with the core management module on the basis of the traditional broadcasting system, and the intelligent comprehensive operation module is connected with a first artificial intelligent learning module, an artificial intelligent algorithm module, an intelligent data analysis module, an intelligent detection database storage module and a first intelligent detection acquisition module. Wherein, the first intellectual detection system collection module (can gather data such as people's face, fingerprint), intelligent data analysis module, first artificial intelligence learning module, intellectual detection system data storage module, artificial intelligence algorithm module totally five major modules have constituteed artificial intelligence's key core, it can be through collecting the daily operation of user, specific swift incident and instruction are formulated according to user's common habit, reduce and exempt from user's repetitive operation, make the user only need according to data analysis's result send whether the order of execution can, make broadcasting system's use more intelligent, humanized.
The core management module is connected with a broadcasting equipment logic management module, a broadcasting equipment stream media management module, a first human-computer interaction module and a timing event management module, the broadcasting equipment logic management module and the broadcasting equipment stream media management module are connected with a first network transmission module, the first network transmission module is used for realizing data transmission with an audio acquisition generation client and an audio receiving client, and all the modules have the same function as a traditional broadcasting system and are mainly used as origin parties for providing data transmission and instruction execution for the clients.
In order to realize normal communication among the audio acquisition and transmission client, the network server and the audio receiving client, the audio acquisition and transmission client is provided with a second network transmission module, the audio receiving client is provided with a third network transmission module, the first network transmission module realizes data transmission with the second network transmission module and the third network transmission module respectively, the first network transmission module, the second network transmission module and the third network transmission module are wired network transmission modules or wireless network transmission modules, wherein when used as a wireless transmission module, the wireless transmission module can be WIFI, 4G, 5G and the like, in addition, in order to enable data transmission to be performed synchronously, a network synchronous transmission protocol may be set in the first network transmission module, the second network transmission module and the third network transmission module to ensure that the sound played by the decoded audio is performed synchronously.
In the using process, sometimes the network service end fails, and when the traditional broadcasting system encounters the problem, the whole broadcasting system can only be stopped to perform maintenance, so that the broadcasting cannot be performed normally. In order to solve the problem, in this embodiment, data transmission is implemented between the second network transmission module and the third network transmission module, and the audio acquisition and transmission client further includes a first core logic manager, where the first core logic manager is connected to the human-computer interaction module, the second intelligent detection and acquisition module, the second artificial intelligent learning module, the first offline artificial intelligent algorithm module, and the offline edge algorithm module. The method is characterized in that an artificial intelligence learning capability is introduced into an audio acquisition and transmission client, corresponding daily operation instructions can be automatically formulated according to daily operation habits of users and daily man-machine conversation, the daily operation instructions are provided for the users to select by themselves, the daily maintenance efficiency of an administrator is improved, an offline edge algorithm module is introduced into the audio acquisition and transmission client, and even if the audio acquisition and transmission client and an audio receiving client are both disconnected with a network server, namely the network server is crashed, the audio acquisition and transmission client can still form a system by itself, and the system can be broadcasted to the audio receiving client normally through an edge algorithm, namely the system can be broadcasted normally without depending on the network server. In the audio acquisition and transmission client, the first core logic manager can be connected with the first streaming media processor, the first streaming media processor is connected with the audio encoder, the audio encoder is connected with the microphone or the analog audio module, and the audio is synchronously processed in the audio acquisition process, so that the data processing pressure of the network server is reduced.
In the using process, network connections among the audio acquisition and transmission client, the network server and the audio receiving client may be completely disconnected due to some emergency situations, and at this time, in the conventional broadcasting system, the audio receiving client cannot work, and can only wait for network recovery and be normally played under the control of the network server, so that the normal use of a user is influenced. In this embodiment, the audio receiving client further includes a second core logic manager, an audio decoder, and a speaker, which are connected in sequence, and the second core logic manager is further connected to a second artificial intelligence learning module, a second offline artificial intelligence algorithm module, an offline edge algorithm and timing module, a local program library, a local database, and a third intelligent detection and acquisition module. When the network server cannot work, the audio receiving client normally completes the automatic broadcasting function by itself (mainly depending on the capabilities of the second offline artificial intelligence algorithm module, the offline edge algorithm and the timing module); and like the network server, the audio receiving client also introduces a second artificial intelligence learning module, so that when the network is crashed, the audio sending client can automatically execute daily habit instructions required by the client without passing through the network server. In addition, the second core logic manager is further connected with a second streaming media processor, the audio decoder is connected with the second streaming media processor, and meanwhile, a power amplification module can be arranged between the audio decoder and the loudspeaker, so that the broadcasting quality of the audio is improved in multiple directions.
The above description is only for the preferred embodiment of the present invention, and the present invention is not limited thereto, the protection scope of the present invention is defined by the claims, and all structural changes equivalent to the contents of the description and drawings of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The network broadcasting system based on artificial intelligence comprises an audio acquisition and sending client, a network server and an audio receiving client which are in communication connection, and is characterized in that the network server comprises a core management module and an intelligent comprehensive operation module connected with the core management module, and the intelligent comprehensive operation module is connected with a first artificial intelligence learning module, an artificial intelligence algorithm module, an intelligent data analysis module, an intelligent detection database storage module and a first intelligent detection acquisition module.
2. The artificial intelligence based networked broadcasting system according to claim 1, wherein the core management module is further connected to a broadcasting device logic management module, a broadcasting device streaming media management module, a first human-machine interaction module, and a timing event management module, the broadcasting device logic management module and the broadcasting device streaming media management module are connected to a first network transmission module, and the first network transmission module is used for realizing data transmission with the audio collection generation client and the audio receiving client.
3. The artificial intelligence based networked broadcasting system of claim 2, wherein the audio collecting and sending client is provided with a second network transmission module, the audio receiving client is provided with a third network transmission module, the first network transmission module realizes data transmission with the second network transmission module and the third network transmission module respectively, and the first network transmission module, the second network transmission module and the third network transmission module are wired network transmission modules or wireless network transmission modules.
4. The artificial intelligence based networked broadcasting system according to claim 3, wherein data transmission is implemented between the second network transmission module and the third network transmission module, the audio collection and transmission client further comprises a first core logic manager, and the first core logic manager is connected with a human-computer interaction module, a second intelligent detection and collection module, a second artificial intelligence learning module, a first offline artificial intelligence algorithm module, and an offline edge algorithm module.
5. The artificial intelligence based networked broadcasting system of claim 4, wherein said first core logic manager is connected to a first streaming media processor, said first streaming media processor is connected to an audio encoder, said audio encoder is connected to a microphone or an analog audio module.
6. The artificial intelligence based networked broadcasting system according to claim 1 or 4, wherein the audio receiving client further comprises a second core logic manager, an audio decoder and a speaker, which are connected in sequence, and the second core logic manager is further connected with a second artificial intelligence learning module, a second offline artificial intelligence algorithm, an offline edge algorithm and timing module, a local program library, a local database and a third intelligent detection and acquisition module.
7. The artificial intelligence based networked broadcasting system of claim 6, wherein the second core logic manager is further coupled to a second streaming media processor, the audio decoder being coupled to the second streaming media processor.
8. The artificial intelligence based networked broadcasting system of claim 6, wherein a power amplification module is disposed between the audio decoder and the speaker.
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| CN201922368677.1U CN210629544U (en) | 2019-12-25 | 2019-12-25 | Network broadcasting system based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112511252A (en) * | 2020-12-08 | 2021-03-16 | 江西赣鄱云新型智慧城市技术研究有限公司 | Intelligent joint defense joint control system for community management |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112511252A (en) * | 2020-12-08 | 2021-03-16 | 江西赣鄱云新型智慧城市技术研究有限公司 | Intelligent joint defense joint control system for community management |
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