CN211787059U - Device for storing super-fusion cloud computing information - Google Patents
Device for storing super-fusion cloud computing information Download PDFInfo
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- CN211787059U CN211787059U CN202020723054.1U CN202020723054U CN211787059U CN 211787059 U CN211787059 U CN 211787059U CN 202020723054 U CN202020723054 U CN 202020723054U CN 211787059 U CN211787059 U CN 211787059U
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Abstract
The utility model discloses a device for storing super-fusion cloud computing information, which comprises a super-fusion cloud computing integrated host, wherein the super-fusion cloud computing integrated host comprises a server module, a computing module, a network module, a storage module and a control module, the server module is respectively electrically connected with the computing module, the network module, the storage module and the control module, the computing module comprises an integration component, a processing component and a distribution component, the storage module is electrically connected with the control module, the storage module comprises a data receiving component, a CPU component, a hard disk component, a backup disk component and a data output component, the utility model mainly comprises that the CPU component simultaneously sends signals to the hard disk component and a backup disk component, so that the hard disk component and the backup disk component synchronously work, when one component breaks down, the other component is not influenced by the component to continue working, and the contents of the hard disk assembly and the backup disk assembly are updated synchronously.
Description
Technical Field
The utility model relates to a super fuse computer field specifically is a device for saving super fuse cloud calculates information.
Background
The super-fusion cloud computing system is an object-oriented distributed storage system, super-fusion refers to the fact that resources and technologies such as computing, network, storage and server virtualization are not only possessed in the same set of equipment, a plurality of super-fusion nodes can be aggregated through the network to achieve transverse expansion, a uniform resource pool is formed, the resource pool included in the super-fusion cloud computing system can be mainly divided into hardware resources and resources distributed for virtual machines, and the resources distributed for the virtual machines are obtained by further integration or splitting on the basis of the hardware resources; at present, a backup system for storing computing information in a super-fusion cloud computing system is not perfect, when a hard disk fails and cannot be used, information stored in the hard disk cannot be presented, and a backup disk needs to be manually selected to call the stored information, so that the problem that information stored in the super-fusion cloud computing system for the hard disk and the backup disk cannot be called simultaneously exists in the prior art.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a device for saving super integration cloud computing information, through the theory of operation of device, can solve the problem of transferring simultaneously for the information that hard disk and backup disc preserved in the super integration cloud computing system, offer convenience for the user.
In order to achieve the above object, the utility model provides a following technical scheme: the utility model provides a device for storing super integration cloud calculates information, includes super integration cloud calculates integrative host computer, super integration cloud calculates integrative host computer includes server module, calculation module, network module, storage module and control module, the server module respectively with calculation module the network module storage module with control module electric connection, the server module is including receiving subassembly and transmission subassembly, receiving subassembly with transmission subassembly electric connection, calculation module is including integrating subassembly, processing component and distribution subassembly, calculation module with storage module electric connection, storage module with control module electric connection, storage module includes data receiving subassembly, CPU subassembly, hard disk subassembly, backup disc subassembly and data output subassembly.
Preferably, the integration component is electrically connected with the processing component, and the processing component is electrically connected with the distribution component.
Preferably, the network module includes a receiving unit and an output unit, and the receiving unit is electrically connected to the output unit.
Preferably, the data receiving assembly is electrically connected with the CPU assembly, the CPU assembly is electrically connected with the hard disk assembly and the backup disk assembly respectively, the hard disk assembly and the backup disk assembly are electrically connected with the data output assembly respectively, and the hard disk assembly is electrically connected with the backup disk assembly.
Preferably, the hard disk assembly comprises a hard disk storage unit and a hard disk editing unit, and the hard disk editing unit is electrically connected with the hard disk storage unit.
Preferably, the backup disc assembly includes a backup disc editing unit and a backup disc storage unit, and the backup disc editing unit is electrically connected to the backup disc storage unit.
Compared with the prior art, the beneficial effects of the utility model are that:
the utility model discloses mainly be CPU subassembly simultaneous transmission signal for hard disk assembly and backup disc subassembly, make hard disk assembly and backup disc subassembly synchronous working, when one of them subassembly broke down, another subassembly did not receive its influence to continue work, and the content synchronous update of hard disk assembly and backup disc subassembly.
Drawings
Fig. 1 is a block diagram of an apparatus for storing super-fusion cloud computing information according to the present invention;
fig. 2 is a block diagram of a storage module of the apparatus for storing super-fusion cloud computing information according to the present invention;
fig. 3 is a block diagram of a computing module of the apparatus for storing super-fusion cloud computing information according to the present invention;
FIG. 4 is a circuit diagram of a computing module of the present invention;
fig. 5 is a circuit diagram of a server module driving circuit according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.
Referring to fig. 1-3, the present invention provides a technical solution: a device for storing super-fusion cloud computing information comprises a super-fusion cloud computing integrated host, wherein the super-fusion cloud computing integrated host comprises a server module, a computing module, a network module, a storage module and a control module, the server module is respectively and electrically connected with the computing module, the network module, the storage module and the control module, the server module comprises a receiving assembly and a transmission assembly, the receiving assembly is electrically connected with the transmission assembly, the network module comprises a receiving unit and an output unit, and the receiving unit is electrically connected with the output unit; the computing module comprises an integration component, a processing component and a distribution component, the integration component is electrically connected with the processing component, the processing component is electrically connected with the distribution component, the computing module is electrically connected with the storage module, and the storage module is electrically connected with the control module;
the server module is used for forming a group of a computing module, a network module storage module and a control module which respectively cross node unified storage pools to obtain the efficiency, capacity expansibility and data availability required by the whole virtualization environment; the computing module integrates and processes the received big data and distributes the processed big data to the storage module; the network module is a network channel which is used for providing expandability and high availability for the computing module, the storage module and the control module; the storage module is used for storing the processed big data; the control module is used for controlling the scheduling of the stored data;
the storage module comprises a data receiving assembly, a CPU assembly, a hard disk assembly, a backup disk assembly and a data output assembly, wherein the data receiving assembly is electrically connected with the CPU assembly, the CPU assembly is respectively electrically connected with the hard disk assembly and the backup disk assembly, the hard disk assembly and the backup disk assembly are respectively electrically connected with the data output assembly, the hard disk assembly is electrically connected with the backup disk assembly, the hard disk assembly comprises a hard disk storage unit and a hard disk editing unit, the hard disk editing unit is electrically connected with the hard disk storage unit, the backup disk assembly comprises a backup disk editing unit and a backup disk storage unit, and the backup disk editing unit is electrically connected with the backup disk storage unit;
in order to achieve the effect, the drive used by the server module is a permanent magnet synchronous motor servo drive, the main circuit topology structure of a permanent magnet synchronous motor servo system is an AC-DC-AC structure, the rectification part adopts full-bridge uncontrolled rectification, the power circuit part is a three-phase bridge inverter circuit, and an Intelligent Power Module (IPM) is adopted; the filter capacitor C provides a low-impedance voltage source for the inverter so as to ensure that the power supply can provide enough energy in the dynamic process; when the power circuit is just powered on, because C is very large, instantaneous charging current is very large, and a rectifier diode and a filter capacitor can be damaged; therefore, when the main circuit is electrified, the charging current of the filter capacitor must be suppressed, and the charging current can be reduced by the circuit consisting of the resistor Rp and the thyristor Tp; wherein VDCBThe voltage signals from two ends of the filter capacitor are used, and the rectifying circuit charges the capacitor C through Rp when the capacitor is powered on. When the voltage value is higher than a certain value, namely the capacitor voltage is established, Tp is conducted, and Rp is in short circuit;
the single chip microcomputer used by the calculation module is an AT89C51 single chip microcomputer, the single chip microcomputer is programmed with a BP neural network algorithm, a data fusion technology is a new technology developed in recent years, the neural network is used as a data fusion method and is applied to various fields, the neural network has induction, summarization, extraction, memory, association and fault tolerance, the purpose of processing information is achieved by adjusting the interconnection relationship among a large number of internal nodes according to the complexity of a system, in the application process, relevant knowledge and information are obtained through training, the actually measured data is compared with the information, data fusion and edge calculation are carried out;
it should be noted that the CPU component uses the CPU model E5-2620V 4, and its corresponding parameters are: interface type LGA2011-3, core number eight cores, thread number 16, master frequency 2.10GHZ, turbo acceleration technique: support, 2.0; the third-level cache is 20MB, and the QPI speed is 8 GT/S;
the working principle is as follows: the network module receives the signal, the calculation module starts to receive the big data and integrates and processes the big data, the processed big data is transmitted to a storage module, a data receiving component transmits the received big data to a CPU component, the CPU component synchronously transmits the data to a hard disk component and a backup disk component, the hard disk component and the backup disk component synchronously edit or store the data, namely, the storage is completed, if any one of the hard disk assembly and the backup disk assembly fails, the other assembly is not affected and continues to work, and after the failed component is recovered to be normal, the normal component can synchronously transmit the stored data to the failed component for storage, finally the control module simultaneously calls the information stored by the hard disk component and the backup disk component through the received signal, the stored information is transmitted to the server module through the data output component, and the server module is transmitted to the PC page of the user through the network.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. An apparatus for storing super-converged cloud computing information, comprising a super-converged cloud computing all-in-one host, characterized in that: the super-fusion cloud computing integrated host comprises a server module, a computing module, a network module, a storage module and a control module, wherein the server module is respectively connected with the computing module, the network module, the storage module and the control module in an electric connection mode, the server module comprises a receiving assembly and a transmission assembly, the receiving assembly is electrically connected with the transmission assembly, the computing module comprises an integration assembly, a processing assembly and a distribution assembly, the computing module is electrically connected with the storage module, the storage module is electrically connected with the control module, and the storage module comprises a data receiving assembly, a CPU assembly, a hard disk assembly, a backup disk assembly and a data output assembly.
2. The apparatus for storing hyper-converged cloud computing information according to claim 1, wherein: the integration component is electrically connected with the processing component, and the processing component is electrically connected with the distribution component.
3. The apparatus for storing hyper-converged cloud computing information according to claim 1, wherein: the network module comprises a receiving unit and an output unit, and the receiving unit is electrically connected with the output unit.
4. The apparatus for storing hyper-converged cloud computing information according to claim 1, wherein: the data receiving assembly is electrically connected with the CPU assembly, the CPU assembly is respectively electrically connected with the hard disk assembly and the backup disk assembly, the hard disk assembly and the backup disk assembly are respectively electrically connected with the data output assembly, and the hard disk assembly is electrically connected with the backup disk assembly.
5. The apparatus for storing hyper-converged cloud computing information according to claim 1, wherein: the hard disk assembly comprises a hard disk storage unit and a hard disk editing unit, and the hard disk editing unit is electrically connected with the hard disk storage unit.
6. The apparatus for storing hyper-converged cloud computing information according to claim 1, wherein: the backup disc assembly comprises a backup disc editing unit and a backup disc storage unit, and the backup disc editing unit is electrically connected with the backup disc storage unit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020723054.1U CN211787059U (en) | 2020-05-06 | 2020-05-06 | Device for storing super-fusion cloud computing information |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020723054.1U CN211787059U (en) | 2020-05-06 | 2020-05-06 | Device for storing super-fusion cloud computing information |
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| CN211787059U true CN211787059U (en) | 2020-10-27 |
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| CN202020723054.1U Active CN211787059U (en) | 2020-05-06 | 2020-05-06 | Device for storing super-fusion cloud computing information |
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