Intelligent video operation and maintenance management system based on video intelligent computing cluster

Abstract

The invention relates to the field of operation and maintenance management, and discloses an intelligent video operation and maintenance management system based on a video intelligent computing cluster, and the system comprises a situation statistics module, an equipment management module, a task scheduling module, a document docking module, and a system authorization module. The situation statistics module is used for state statistics of the video intelligent computing cluster equipment; the equipment management module is used for addition, modification, deletion and information query of the video intelligent computing cluster equipment; the task scheduling module is used for checking and scheduling a video compression task of the video intelligent computing cluster equipment in real time; the docking document module is used for providing a docking interface for a third-party video platform, so that a video provided by the docking document module can be compressed by the video intelligent computing cluster equipment; and the system authorization module is used for authorizing permission. The operation and maintenance efficiency of the video intelligent computing cluster equipment is improved, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of operation and maintenance management, and in particular to an intelligent video operation and maintenance management system based on a video intelligent computing cluster. Background Art

[0002] With the rapid development of Internet technology and the popularization of high-definition video, the amount of video data has exploded. The high resolution and high bit rate of high-definition video have brought tremendous pressure to the transmission and storage of video. In order to solve such problems, high-compression video technology has emerged.

[0003] The video intelligent computing cluster adopts video intelligent compression technology and complex network adaptive technology to create a massive video high-compression cluster device that integrates large-scale video access, high-concurrency video transcoding processing, massive video cluster scheduling, intelligent operation and maintenance status monitoring, and fault redundancy automatic backup.

[0004] The existing video intelligent computing cluster contains a large number of video compression algorithm services and audio and video processing chips. A large number of video compression algorithm services are inconvenient for users to manage device resources and plan the later stage of device resources, which can easily cause waste of resources and increase labor costs. Summary of the invention

[0005] The purpose of the present invention is to propose an intelligent video operation and maintenance management system based on a video intelligent computing cluster to solve the technical problems of low operation and maintenance efficiency and high operation and maintenance cost of existing video intelligent computing cluster equipment.

[0006] The present invention proposes an intelligent video operation and maintenance management system based on a video intelligent computing cluster, which specifically includes:

[0007] Situation statistics module, equipment management module, scheduling task module, docking document module and system authorization module;

[0008] The situation statistics module is used for status statistics of video intelligent computing cluster devices;

[0009] The device management module is used to add, modify, delete, and query information of video intelligent computing cluster devices;

[0010] The scheduling task module is used to view and schedule the video compression tasks of the video intelligent computing cluster equipment in real time;

[0011] The docking document module is used to provide a docking interface for third-party video platforms so that the videos they provide can be compressed by the video intelligent computing cluster device;

[0012] The system authorization module is used for authorization licensing.

[0013] A storage medium stores instructions and data for implementing an intelligent video operation and maintenance management system based on a video intelligent computing cluster.

[0014] An intelligent video operation and maintenance management device based on a video intelligent computing cluster comprises: a processor and the storage medium; the processor loads and executes instructions and data in the storage medium to implement an intelligent video operation and maintenance management system based on a video intelligent computing cluster.

[0015] The beneficial effects provided by the present invention are:

[0016] 1. The situation statistics module and equipment management module provide reliable data support for compression equipment maintenance and data analysis through docking.

[0017] 2. Comprehensively control and manage equipment information through the scheduling task module, and view the scheduling information of high-compression channels in real time.

[0018] 3. Provide a document description of starting / stopping high-compression API docking on third-party platforms through the docking document module

[0019] In general, the present invention improves the operation and maintenance efficiency of video intelligent computing cluster equipment and reduces the operation and maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0021] Figure 2 It is a situation statistics diagram;

[0022] Figure 3 It is a schematic diagram of the equipment list;

[0023] Figure 4 It is a schematic diagram of equipment details;

[0024] Figure 5 It is a schematic diagram of traffic details;

[0025] Figure 6 It is a schematic diagram of adding audio and video compression equipment;

[0026] Figure 7 It is a schematic diagram of the detection of audio and video compression equipment;

[0027] Figure 8 It is the schematic diagram of the editing device;

[0028] Fig. 9 It is a schematic diagram of the replacement of audio and video high compression equipment;

[0029] Fig.10 This is a schematic diagram of device information data synchronization

[0030] Fig.11 This is a diagram of the network settings for high-compression audio and video equipment;

[0031] Fig.12 It is a schematic diagram of video source intervention settings;

[0032] Fig.13 This is a schematic diagram of the national standard platform access settings;

[0033] Fig.14 It is a schematic diagram of the parent domain;

[0034] Fig.15 It is a working schematic diagram of the hardware device of the present invention. DETAILED DESCRIPTION

[0035] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0036] Before formally describing the present invention, the scheme of the present invention is first generally described for easy understanding.

[0037] Please refer to Figure 1 , Figure 1 It is a schematic diagram of the structure of the system of the present invention.

[0038] The present invention provides an intelligent video operation and maintenance management system based on a video intelligent computing cluster, comprising:

[0039] Situation statistics module, equipment management module, scheduling task module, docking document module and system authorization module;

[0040] The situation statistics module is used for status statistics of video intelligent computing cluster devices;

[0041] The device management module is used to add, modify, delete, and query information of video intelligent computing cluster devices;

[0042] The scheduling task module is used to view and schedule the video compression tasks of the video intelligent computing cluster equipment in real time;

[0043] The docking document module is used to provide a docking interface for third-party video platforms so that the videos they provide can be compressed by the video intelligent computing cluster device;

[0044] The system authorization module is used for authorization licensing.

[0045] It should be noted that the situation statistics module includes: a system time unit, a statistics unit, an operation unit and a migration unit.

[0046] It should be noted that the system time unit is used to display the current system time.

[0047] It should be noted that the statistical unit includes: project statistics, equipment status statistics and channel statistics.

[0048] It should be noted that the operation unit includes: resource operation overview and equipment operation analysis.

[0049] It should be noted that the migration unit includes: a fault migration trend diagram and a latest migration message.

[0050] It should be noted that the device management module includes: a device display unit, a device change unit, a device synchronization unit and a device update unit.

[0051] It should be noted that the device display unit includes: device list and device details; the device change unit includes: editing device, deleting device and fault replacement; the device synchronization unit includes: device detection, data synchronization, network settings, access settings, national standard platform and upper domain; the device update unit includes: device restart and device upgrade.

[0052] As an example, the intelligent video operation and maintenance management system includes five modules: situation statistics, equipment management, scheduling tasks, docking documents and system authorization. Figure 2-Figure 14 .

[0053] Situation statistics module, such as Figure 2 As shown, including:

[0054] System Time: Displays the current server time.

[0055] Project statistics: count all projects and computer rooms.

[0056] Equipment status statistics: Statistics on normal and abnormal data of current equipment and analysis of their proportions.

[0057] Channel status statistics: statistics on the current channel running, stopping data and proportion analysis.

[0058] Resource operation overview: statistics on the total number of devices / number of online devices, total number of channels / number of operating channels, number of migratable channels / number of migrated channels.

[0059] Equipment operation analysis: monitor the operation status of the equipment and display the various operation indicators of the equipment based on the project dimension.

[0060] Fault migration trend chart: Statistics on the number of channel fault alarms and the number of migrations automatically processed by the system in the past six months.

[0061] Latest migration message: Statistics of the latest 11 channel migration alarm messages, including alarm device, alarm content and alarm time.

[0062] The device management module includes:

[0063] Device list: The device list displays all connected devices by project page. The list displays the cloud operation status and data synchronization status of each device. The page refreshes the data every 5 seconds. Figure 3 As shown;

[0064] Device details: Click any device in the device list to display basic device information, network unit and audit information on the right. Figure 4 As shown;

[0065] Traffic details: Enter the device details-traffic statistics page, open the channel traffic details page to which the unit is connected, and the page automatically refreshes the data every 10 seconds. Figure 5 As shown;

[0066] Add a new device: Enter the device list function area - click the batch add button, and the new device window will pop up. Enter the project name, computer room name, project rendering, device name and device IP, submit and save to successfully add the device. Figure 6 As shown:

[0067] Device detection: Enter the device detection page, select the detection device type, enter the detection IP range, click Start Scan, and the system will automatically scan the device. Figure 7 As shown:

[0068] Edit device: Click the device list-edit icon, and the edit device window will pop up. Enter the project name, computer room name, project rendering, device name and device IP to be modified. Submit and save to successfully modify.

[0069] Schematic diagram as Figure 8 As shown:

[0070] Delete device: Select the checkbox in the device list, click the Batch Delete button, and a window for verifying the device password will pop up. Enter your login password, submit and save to successfully delete the device.

[0071] Device upgrade: Select the device to be upgraded, click the batch upgrade button in the device list function area, upload the upgrade package in the pop-up upgrade window, and click Upload to Server to complete the device upgrade. The batch upgrade operation can realize remote upgrade of devices.

[0072] Device restart: Select the device to be restarted, click the batch restart button in the device list function area to execute the device restart operation. The batch restart operation can realize the remote restart of the device.

[0073] Fault replacement: Find the faulty device that needs to be replaced, click the replacement icon in the device list operation bar, fill in the new device IP in the pop-up window, click Confirm to complete the device replacement, and the data will be automatically sent to the new device. Fault replacement can achieve one-click replacement of the device. The schematic diagram is as follows Fig. 9 As shown;

[0074] Data synchronization: Find the device that needs to synchronize data, click the synchronization icon in the device list operation bar, and execute the device data synchronization operation. Data synchronization can realize remote synchronization of device data. Fig.10 As shown;

[0075] Network Settings: Enter the network settings page. Network settings are to remotely configure the network information of the device unit.

[0076] Schematic diagram as Fig.11 As shown;

[0077] Access Settings: Click the device list - edit icon - switch to the Access Settings Tab to enter the Access Settings page. Access Settings is to remotely configure the device channel access information. Fig.12 As shown;

[0078] National Standard Platform: Click the device list-edit icon-switch to the National Standard Platform Tab to enter the National Standard Settings page. The National Standard Configuration is to remotely configure the national standard information of the device channel. Fig.13 As shown;

[0079] Parent domain: Click the national standard platform-edit icon-click Configure parent platform in the pop-up window to enter the parent domain page. The parent domain is the parent platform information of the remote configuration device. Fig.14 As shown;

[0080] Scheduling task module: Open the scheduling task page. The scheduling task can view the data display page of the cluster scheduling and high compression task in real time.

[0081] Docking Documentation Module: Open the Zhisuan Cluster Docking Documentation. Third-party video platforms can connect to the cluster scheduling platform through the Zhisuan Cluster interface to achieve real-time online compression.

[0082] System Authorization Module: System authorization refers to the process of authorizing the legal access and use of software, services or resources. Authorization is usually carried out through a license or other form of licensing agreement to ensure that users can legally use the software or service if they meet specific conditions.

[0083] See also Fig.15 , Fig.15It is a working diagram of the hardware device of an embodiment of the present invention, and the hardware device specifically includes: an intelligent video operation and maintenance management device 401 based on a video intelligent computing cluster, a processor 402 and a storage medium 403.

[0084] An intelligent video operation and maintenance management device 401 based on a video intelligent computing cluster: The intelligent video operation and maintenance management device 401 based on a video intelligent computing cluster implements the intelligent video operation and maintenance management system based on a video intelligent computing cluster.

[0085] Processor 402: The processor 402 loads and executes the instructions and data in the storage medium 403 to implement the intelligent video operation and maintenance management system based on the video intelligent computing cluster.

[0086] Storage medium 403: The storage medium 403 stores instructions and data; the storage medium 403 is used to implement the intelligent video operation and maintenance management system based on the video intelligent computing cluster.

[0087] The beneficial effects of the present invention are:

[0088] 1. The situation statistics module and equipment management module provide reliable data support for compression equipment maintenance and data analysis through docking.

[0089] 2. Comprehensively control and manage equipment information through the scheduling task module, and view the scheduling information of high-compression channels in real time.

[0090] 3. Provide a document description of starting / stopping high-compression API docking on third-party platforms through the docking document module

[0091] In general, the present invention improves the operation and maintenance efficiency of video intelligent computing cluster equipment and reduces the operation and maintenance costs.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent video operation and maintenance management system based on a video intelligent computing cluster, characterized by: include: Situation statistics module, equipment management module, scheduling task module, docking document module and system authorization module; The situation statistics module is used for status statistics of video intelligent computing cluster devices; The device management module is used to add, modify, delete, and query information of video intelligent computing cluster devices; The scheduling task module is used to view and schedule the video compression tasks of the video intelligent computing cluster equipment in real time; The docking document module is used to provide a docking interface for third-party video platforms so that the videos they provide can be compressed by the video intelligent computing cluster device; The system authorization module is used for authorization licensing.

2. The intelligent video operation and maintenance management system based on the video intelligent computing cluster according to claim 1, characterized in that: The situation statistics module includes: a system time unit, a statistics unit, an operation unit and a migration unit.

3. The intelligent video operation and maintenance management system based on video intelligent computing cluster according to claim 2, characterized in that: The system time unit is used to display the current system time.

4. The intelligent video operation and maintenance management system based on a video intelligent computing cluster as claimed in claim 2, characterized in that: The statistical unit includes: project statistics, equipment status statistics and channel statistics.

5. The intelligent video operation and maintenance management system based on video intelligent computing cluster according to claim 2, characterized in that: The operation unit includes: resource operation overview and equipment operation analysis.

6. The intelligent video operation and maintenance management system based on video intelligent computing cluster according to claim 2, characterized in that: The migration unit includes: a fault migration trend diagram and a latest migration message.

7. The intelligent video operation and maintenance management system based on video intelligent computing cluster according to claim 1, characterized in that: The device management module includes: a device display unit, a device change unit, a device synchronization unit and a device update unit.

8. The intelligent video operation and maintenance management system based on video intelligent computing cluster according to claim 7, characterized in that: The device display unit includes: device list and device details; the device change unit includes: editing device, deleting device and fault replacement; the device synchronization unit includes: device detection, data synchronization, network settings, access settings, national standard platform and upper domain; the device update unit includes: device restart and device upgrade.

9. A storage medium, characterized in that: The storage medium stores instructions and data for implementing an intelligent video operation and maintenance management system based on a video intelligent computing cluster as described in any one of claims 1 to 8.

10. An intelligent video operation and maintenance management device based on a video intelligent computing cluster, characterized in that: include: Processor and storage medium; the processor loads and executes instructions and data in the storage medium to implement an intelligent video operation and maintenance management system based on a video intelligent computing cluster as described in any one of claims 1 to 8.

Images