Data center system and processing method for intelligent computing autonomous controllable information communication technology (ICT) equipment
A data center and processing method technology, applied in the direction of electrical digital data processing, computing, hardware monitoring, etc., can solve the problem of insufficient comprehensive processing of transmitted data, achieve the effect of easy control and adjustment, and improve fluency
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Embodiment 1
[0056] Example 1, please refer to figure 2 , a data center processing system for intelligently computing autonomously controllable ICT equipment. The processing system 1 includes a data acquisition module 11, a problem troubleshooting module 12, and a device control module 13. By adding and setting the problem troubleshooting module 12, the acquired data can be processed Troubleshoot the faults of the ICT equipment 2, and then guide the device control module 13 to regulate the equipment through the faults.
[0057] The data acquisition module 11 includes a first acquisition unit 111, a second acquisition unit 112 and a third acquisition unit 113, the first acquisition unit 111 is configured with a first data acquisition strategy, and the first data acquisition strategy includes: acquisition The configuration parameters of several ICT devices 2 are obtained by configuring the parameters to obtain the intelligent control components of the ICT devices 2. The second acquisition u...
Embodiment 2
[0060] Example 2, please refer to image 3 In the second embodiment, on the basis of the first embodiment, a storage module 14 , a data address processing module 15 , a category matching module 16 and a verification module 17 are added.
[0061] The processing system 1 further includes a storage module 14, in which a guidance method is pre-stored, and the guidance method includes several conventional deviation guidance methods and several correction methods.
[0062] The processing system 1 also includes a classification matching module 16, the classification matching module 16 is configured with a classification strategy and a matching strategy, the classification strategy includes: dividing the non-compliant information into regular deviation information and special deviation information, the matching Strategies include: Corresponding routine deviation information with several conventional deviation guidance methods; Corresponding special deviation information with several c...
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