CN111782483A - Cloud computing monitoring platform capable of elastically stretching - Google Patents
Cloud computing monitoring platform capable of elastically stretching Download PDFInfo
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- CN111782483A CN111782483A CN202010814692.9A CN202010814692A CN111782483A CN 111782483 A CN111782483 A CN 111782483A CN 202010814692 A CN202010814692 A CN 202010814692A CN 111782483 A CN111782483 A CN 111782483A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3034—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a storage system, e.g. DASD based or network based
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Abstract
The invention discloses an elastically telescopic cloud computing monitoring platform, which comprises a cloud storage system platform, communication equipment for constructing a communication network and monitoring components of a plurality of nodes, wherein the monitoring components of the plurality of nodes are subjected to monitoring video recording in real time and storage, and are transmitted to the cloud storage system platform by using the communication equipment, the cloud storage system platform automatically processes data through an intelligent operating system and performs real-time feedback in the face of a change signal or demand signal cloud system, the cloud storage system platform comprises an operating module, a resource management module, an intelligent deployment module, a centralized storage module and a feedback calling module, and the operating module, the resource management module, the intelligent deployment module, the centralized storage module and the feedback calling module are communicated with one another. The invention can respectively upload the monitoring data to the cloud storage system platform through the network, perform classification processing, provide calling at any time and avoid data loss.
Description
Technical Field
The invention relates to the technical field of cloud computing monitoring, in particular to an elastically telescopic cloud computing monitoring platform.
Background
Cloud computing (cloud computing) is one type of distributed computing, and means that a huge data computing processing program is decomposed into countless small programs through a network "cloud", and then the small programs are processed and analyzed through a system consisting of a plurality of servers to obtain results and are returned to a user. In the early stage of cloud computing, simple distributed computing is adopted, task distribution is solved, and computing results are merged. Thus, cloud computing is also known as grid computing. By the technology, tens of thousands of data can be processed in a short time (several seconds), so that strong network service is achieved, cloud computing is a service related to information technology, software and the Internet, the computing resource sharing pool is called 'cloud', a plurality of computing resources are aggregated by the cloud computing, automatic management is achieved through software, and the resources can be rapidly provided only by few people.
With the development of information technology in the times, monitoring platforms are widely distributed everywhere, however, these monitoring platforms cannot realize data coexistence and information sharing, and are troublesome in calling monitoring data and time-consuming, and meanwhile, the storage space capacity of monitoring network points is limited, and long-term storage occupies a large storage space, so that the use is very inconvenient. For this reason, a corresponding technical scheme needs to be designed to solve the existing technical problems.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an elastically telescopic cloud computing monitoring platform, which solves the problems that: with the development of the information technology of the times, the monitoring platforms are widely distributed everywhere, however, the monitoring platforms cannot realize data coexistence and information sharing, the calling of monitoring data is troublesome, the time consumption is high, meanwhile, the storage space capacity of monitoring network points is limited, the long-term storage occupies a large storage space, and the use is very inconvenient.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: an elastically extensible cloud computing monitoring platform, a cloud storage system platform managed in a unified manner, communication equipment used for building a communication network, and monitoring components of a plurality of nodes, wherein the monitoring components of the plurality of nodes are used for monitoring and recording videos in real time and storing the videos and transmitting the videos to the cloud storage system platform by using the communication equipment, the cloud storage system platform automatically processes data through an intelligent operating system and feeds back the videos in real time in the face of a change signal or a demand signal, the cloud storage system platform comprises an operating module, a resource management module, an intelligent deployment module, a centralized storage module and a feedback calling module, the operating module, the resource management module, the intelligent deployment module, the centralized storage module and the feedback calling module are all communicated with one another, and the plurality of monitoring components comprise host equipment, storage equipment and network communication equipment, and the host equipment comprises an internal monitoring system which collects monitoring images in real time.
As a further preferable mode of the present invention, the monitoring system includes an acquisition module, a message module, a storage module, an analysis module, and a warning module, the storage device includes a memory bank, a hard disk, and classification software disposed inside the hard disk, the network communication device includes a modem, a router, and a network switch, the host device includes a plurality of cameras, and the cameras are adjustable in angle.
As a further preferable mode of the present invention, the operation module is an operation software for cloud user information transmission and for two-party interaction, the operation module can be configured with an android/ios/PC based system and provide a user to log in for operation, the operation module includes a login unit, an operation instruction unit and an item selection unit, the user can register an account and log in through the login unit and call required monitoring data information through the item selection unit, and the operation instruction unit can provide operation assistance.
As a further preferable mode of the present invention, the resource management module performs classification processing by using a database, and is formed by sequentially connecting a data classification unit, a data numbering unit, and a cloud database, wherein the data classification unit classifies lengths of image data, the data numbering unit numbers the image data, classifies types of data positions, data times, and data capacities of different types of data of the same type, and stores the classified data in the cloud database, thereby implementing resource management of a tree structure.
As a further preferred mode of the present invention, the intelligent deployment module includes a region dividing unit and a time dividing unit, the region dividing unit can classify the data according to different regions, the time dividing unit can divide the data according to different times, and the time division is subdivided according to months and days.
As a further preferred mode of the present invention, the feedback call module establishes a corresponding image data retrieval algorithm to perform fast retrieval on image data, the image data retrieval algorithm is performed by combining directory retrieval and a search engine, and a keyword is input in the search engine to perform accurate retrieval on data; the search engine searches for matched data according to a certain mode, and carries out sequencing according to the matching degree of the data and the keywords and feeds back the data to the user.
As a further preferred mode of the present invention, the centralized storage module divides the image resources into public images and private images, stores the image data by adopting a centralized and distributed combined strategy, stores and backs up the images related to the public in a distributed and public manner, and centrally and uniformly stores and backs up the images related to the protection.
As a further preferable mode of the present invention, the acquisition module includes an amplification unit, a resolution unit, and a resolution unit, the amplification unit is set to be adjustable in image size, the resolution unit is set to be adjustable in image resolution, and the resolution unit is set to be adjustable in resolution.
(III) advantageous effects
The invention provides an elastically telescopic cloud computing monitoring platform. The method has the following beneficial effects:
(1) the cloud storage system platform is communicated with the internet of the communication equipment and the monitoring components of the plurality of nodes, so that data of the monitoring components can be uploaded in real time, storage is provided, and the storage space of the monitoring components can be effectively released.
(2) The cloud storage system platform is used for carrying out detailed classified management on the transmitted image data, and meanwhile, the operation module can provide user login and operation use, so that the image data uploaded by the cloud storage system platform can be called in real time, and the cloud storage system platform is convenient and fast to use.
(3) The invention can divide the image data according to regions and time by using the intelligent deployment module, can divide the image resources into public images and secret images by using the centralized storage module, and can quickly feed back the image data by using the feedback calling module.
Drawings
FIG. 1 is a general principle framework diagram of the present invention;
FIG. 2 is a schematic diagram of a schematic framework of a cloud storage hierarchy platform of the present invention;
fig. 3 is a schematic block diagram of a monitoring system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, an embodiment of the present invention provides a technical solution: an elastically extensible cloud computing monitoring platform, a cloud storage system platform managed in a unified manner, communication equipment used for building a communication network, and monitoring components of a plurality of nodes, wherein the monitoring components of the plurality of nodes are used for monitoring and recording videos in real time and storing the videos and transmitting the videos to the cloud storage system platform by using the communication equipment, the cloud storage system platform automatically processes data through an intelligent operating system and feeds back the videos in real time in the face of a change signal or a demand signal, the cloud storage system platform comprises an operating module, a resource management module, an intelligent deployment module, a centralized storage module and a feedback calling module, the operating module, the resource management module, the intelligent deployment module, the centralized storage module and the feedback calling module are all communicated with one another, and the plurality of monitoring components comprise host equipment, storage equipment and network communication equipment, and the host equipment comprises an internal monitoring system which collects monitoring images in real time.
The monitoring system comprises an acquisition module, a message module, a storage module, an analysis module and a warning module, the storage device comprises a memory bank, a hard disk and classification software arranged inside the hard disk, the network communication device comprises a modem, a router and a network switch, the host device comprises a plurality of cameras, the angles of the cameras can be adjusted, and the acquisition module, the message module, the storage module, the analysis module and the warning module can be used for acquiring, temporarily storing and analyzing images through the design.
The operation module is used for cloud users to transmit information and is operation software for interaction of the cloud users and the cloud users, the operation module can be provided with an android/ios/PC-based system and provides users to log in for operation, the operation module comprises a login unit, an operation instruction unit and an item selection unit, the users can register accounts and log in through the login unit and call needed monitoring data information through the item selection unit, the operation instruction unit can provide operation assistance, the users can log in through the login unit in the operation module through the design and select through the item selection unit, and request instructions are sent through the operation instruction unit.
The resource management module is used for carrying out classification processing by using a database and is formed by sequentially connecting a data classification unit, a data numbering unit and a cloud database, the data classification unit classifies the length of image data, the data numbering unit numbers the image data, data positions, data time and data capacity of the same type data of different types are classified, the classified data are stored in the cloud database, resource management of a tree-shaped structure is realized, and the resource management module can be used for classifying the image data according to the number and storing the image data through the cloud database.
The intelligent deployment module comprises a region dividing unit and a time dividing unit, the region dividing unit can classify the data according to different regions, the time dividing unit can divide the data according to different times, the time division is subdivided according to months and days, and the image data can be classified through the region dividing unit and the time dividing unit.
The feedback calling module is used for establishing a corresponding image data retrieval algorithm and rapidly retrieving the image data, the image data retrieval algorithm is carried out in a mode of combining directory retrieval and a search engine, keywords are input into the search engine, and the data are accurately retrieved; the search engine searches for matched data in a certain mode, and sorts and feeds back the matched data to the user according to the matching degree of the data and the keywords, and the feedback calling module can be used for achieving the purpose of quick retrieval through the design and feeding back image data to the user.
The centralized storage module divides image resources into public images and secret images, image data are stored by adopting a centralized and distributed combined strategy, images related to the public are stored and backed up in a distributed public mode, images related to the public are stored and backed up in a centralized and unified mode, images related to the protection are stored and backed up in a centralized and unified mode, and the centralized storage module can be used for carrying out secret and public classification processing on the image data through the design, so that the calling safety is improved.
The acquisition module includes magnification unit, definition unit and resolution ratio unit, the magnification unit is established to adjustable image size, the resolution ratio unit is established to adjustable image resolution ratio, the definition unit is established to adjustable definition, can use magnification unit, definition unit and resolution ratio unit to adjust the image data through such design, is convenient for discern.
The working principle is as follows: during the use, can install corresponding automobile body control platform in the vehicle, establish regional intelligent platform simultaneously, utilize 5G to realize automobile body control platform and intelligent platform real-time communication simultaneously, in the car driving process, intelligent platform can realize long-rangely and drive the vehicle and communicate, and when the car is not standard to go, can distinguish the warning, when the potential safety hazard appears in the car operation, emergency braking unit and safety braking unit, can assist and brake, and feel tired when car driver, the driver is assisted to the accessible remote control module, and park the auxiliary module and the auxiliary module that backs a car and can assist and park and back a car, whole intelligent degree is high.
The invention, the part is the common standard part or the part known by the technicians in this field, its structure and principle are all known by the technicians through technical manuals or through routine experimental methods, the problem solved by the invention is that with the development of information technology of the times, the monitoring platforms are widely distributed everywhere, however, these monitoring platforms can not realize data coexistence and information sharing, the calling of monitoring data is troublesome and time consuming, meanwhile, the storage space capability of the monitoring network is limited, the long-term storage occupies large storage space, the use is very inconvenient, the invention, through the mutual combination of the above parts, the invention uses the cloud storage system platform and the internet of the communication equipment to communicate with the monitoring components of a plurality of nodes, the data of the monitoring components can be uploaded in real time, the storage is provided, the storage space of the monitoring components can be effectively released, the cloud storage system platform is used for carrying out detailed classified management on the transmitted image data, meanwhile, the operation module can provide user login and operation use, and the image data uploaded by the cloud storage system platform can be called in real time, so that the cloud storage system platform is convenient and fast to use.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. The utility model provides an elastic flexible cloud computing monitoring platform which characterized in that: the cloud storage system platform automatically processes data through an intelligent operating system and feeds back in real time in the face of a change signal or a demand signal cloud system, the cloud storage system platform comprises an operating module, a resource management module, an intelligent deployment module, a centralized storage module and a feedback calling module, the operating module, the resource management module, the intelligent deployment module, the centralized storage module and the feedback calling module are all communicated with one another, the monitoring components comprise host equipment, storage equipment and network communication equipment, and the monitoring system is arranged in the host equipment, the monitoring system collects monitoring images in real time.
2. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the monitoring system comprises an acquisition module, a message module, a storage module, an analysis module and a warning module, the storage device comprises a memory bank, a hard disk and classification software arranged in the hard disk, the network communication device comprises a modem, a router and a network switch, the host device comprises a plurality of cameras, and the angles of the cameras can be adjusted.
3. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the operation module is used for cloud users to transmit information and is operation software for interaction of the cloud users and the cloud users, the operation module can be provided with an android/ios/PC-based system and provides users to log in for operation, the operation module comprises a login unit, an operation instruction unit and an item selection unit, the users can register accounts and log in through the login unit and call needed monitoring data information through the item selection unit, and the operation instruction unit can provide operation assistance.
4. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the resource management module is used for carrying out classification processing by using a database and is formed by sequentially connecting a data classification unit, a data numbering unit and a cloud database, the data classification unit classifies the length of image data, the data numbering unit numbers the image data, classifies the types of data positions, data time and data capacity of the same type of data of different types, and stores the classified data into the cloud database, so that the resource management of a tree-shaped structure is realized.
5. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the intelligent deployment module comprises a region division unit and a time division unit, the region division unit can classify the data according to different regions, the time division unit can divide the data according to different times, and the time division is divided according to months and days.
6. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the feedback calling module is used for establishing a corresponding image data retrieval algorithm and rapidly retrieving the image data, the image data retrieval algorithm is carried out in a mode of combining directory retrieval and a search engine, keywords are input into the search engine, and the data are accurately retrieved; the search engine searches for matched data according to a certain mode, and carries out sequencing according to the matching degree of the data and the keywords and feeds back the data to the user.
7. The cloud computing monitoring platform that can elastically stretch according to claim 1, wherein: the centralized storage module divides image resources into public images and secret images, adopts a centralized and distributed combined strategy to store image data, stores and backups the images related to the public in a distributed public mode, and stores and backups the images related to the protection in a centralized and unified mode.
8. The cloud computing monitoring platform capable of elastic expansion and contraction according to claim 2, wherein: the acquisition module comprises an amplification unit, a definition unit and a resolution unit, wherein the amplification unit is set to be adjustable in image size, the resolution unit is set to be adjustable in image resolution, and the definition unit is set to be adjustable in definition.
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| CN202010814692.9A CN111782483A (en) | 2020-08-13 | 2020-08-13 | Cloud computing monitoring platform capable of elastically stretching |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113885387A (en) * | 2021-10-11 | 2022-01-04 | 青岛萨纳斯智能科技股份有限公司 | SDP-based big data monitoring method and device, terminal equipment and platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113885387A (en) * | 2021-10-11 | 2022-01-04 | 青岛萨纳斯智能科技股份有限公司 | SDP-based big data monitoring method and device, terminal equipment and platform |
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Application publication date: 20201016 |