CN111723128A - Energy internet data processing system - Google Patents

Energy internet data processing system Download PDF

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Publication number
CN111723128A
CN111723128A CN202010556407.8A CN202010556407A CN111723128A CN 111723128 A CN111723128 A CN 111723128A CN 202010556407 A CN202010556407 A CN 202010556407A CN 111723128 A CN111723128 A CN 111723128A
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data processing
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CN111723128B (en
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罗晓
王敉佳
黄泽鑫
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Gree Electric Appliances Inc of Zhuhai
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
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    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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Abstract

The invention discloses an energy internet data processing system which comprises a near cloud edge server, near end edge data processing equipment accessed to the near cloud edge server and terminal energy equipment accessed to the near end edge data processing equipment, wherein the terminal energy equipment is used for reporting energy data of self operation and an energy data statistical result to the near end edge data processing equipment; the near-end edge data processing equipment is used for storing energy data and energy data statistical results reported by all terminal energy equipment accessed to the near-end edge data processing equipment and performing energy data statistical analysis; the near cloud edge server is used for storing all energy data and energy data statistical analysis results reported by near end edge data processing equipment accessed to the near cloud edge server and performing energy data statistical analysis. By adopting the technical scheme of the invention, the data processing speed of the system can be improved.

Description

Energy internet data processing system
Technical Field
The invention relates to the field of energy Internet, in particular to an energy Internet data processing system.
Background
The energy internet is used as a product of deep integration of an energy system and the internet, is a new generation energy system taking electric power as a hub and a platform, covers various fields of electric power, energy, information, traffic, economy, management and the like, integrates the current ubiquitous electric power internet of things and the industrial internet, the development concepts of the Internet of things and the like are applied to a variety of scenes such as energy Internet home, energy Internet communities, energy Internet factories, energy Internet parks, energy Internet buildings and the like, the energy Internet is suitable for a single space or a single area and faces the global field, the data storage quantity faced by the energy Internet is exponentially increased, the stored data is massive, the data to be processed is more and more precise, the data processing performance is millisecond-level or microsecond-level or even finer, and the energy Internet has the clear characteristics of high data processing performance and large data storage quantity.
The energy internet system is composed of energy equipment, information equipment and a management system, and can monitor energy data of equipment UIPQ (voltage, current, power and energy consumption) in real time, monitor information data such as equipment state modes in real time, perform linkage analysis on the energy data information data, alarm based on the energy data equipment, global performance source management, statistical analysis, prediction analysis and the like in an application scene. For a single device, the requirements of high data processing performance and large data storage capacity are met, and the problem is a contradictory proposition, for example, if data of one server is stored sufficiently, data statistics processing is performed, traversal search and calculation are required from a large data volume, the larger the data volume is, the slower the search is, the slower the data processing is, and even if a server cluster is adopted, the faced problems remain, so that the architecture of the energy internet data processing system is increasingly inapplicable to the long-term development of the energy internet.
Disclosure of Invention
The invention provides an energy internet data processing system, which aims to solve the technical problem that the data processing speed is low due to large energy internet data volume in the prior art.
The embodiment of the invention provides an energy internet data processing system which comprises a near cloud edge server, a near end edge data processing device accessed to the near cloud edge server and a terminal energy device accessed to the near end edge data processing device,
the terminal energy device is used for reporting the energy data of the terminal energy device and the statistical result of the energy data to the near-end edge data processing device;
the near-end edge data processing equipment is used for storing energy data and energy data statistical results reported by all terminal energy equipment accessed to the near-end edge data processing equipment and performing energy data statistical analysis;
the near cloud edge server is used for storing all energy data and energy data statistical analysis results reported by near end edge data processing equipment accessed to the near cloud edge server and performing energy data statistical analysis.
In an embodiment of the present invention, the energy internet data processing system further includes:
and the sub data center is arranged at the cloud end and used for storing all the energy data and the energy data statistical analysis results reported by the near cloud edge servers accessed to the sub data center and further performing energy data statistical analysis.
In an embodiment of the present invention, the energy internet data processing system further includes:
and the total data center is used for storing the energy data and the energy data statistical analysis results reported by all the sub data centers accessed to the total data center and further performing energy data statistical analysis.
In the embodiment of the invention, the near cloud edge server, the sub data center and the total data center are arranged in the same data platform by adopting a platform architecture.
In the embodiment of the invention, the energy data of the terminal energy device comprises the current, the voltage, the power and the energy consumption of the terminal energy device.
In the embodiment of the present invention, the terminal energy device is further configured to identify whether the energy data of the terminal energy device is abnormal, and report abnormal information to the near-end edge data processing device.
In this embodiment of the present invention, the near-end edge data processing device is further configured to determine whether the energy data reported by the current terminal energy device is abnormal according to a big data analysis result of the energy data reported by all terminal energy devices accessing the near-end edge data processing device.
In the embodiment of the invention, when the terminal energy equipment is abnormal, the near cloud edge server is further used for judging the reason of the abnormality of the terminal energy equipment according to the big data analysis result of the energy data.
In the embodiment of the invention, the terminal energy device reports the energy data of the terminal energy device to the bus, and the near-end edge data processing device monitors the energy data reported by the terminal energy device on the bus.
In the embodiment of the invention, the near-end edge data processing equipment and the near-cloud edge server are in communication connection through a TCP/IP protocol.
Compared with the prior art, the energy internet data processing system comprises the near cloud edge server, the near end edge data processing equipment accessed to the near cloud edge server and the terminal energy equipment accessed to the near end edge data processing equipment, when each data processing layer carries out data processing, the energy data are subjected to statistical analysis and data statistical analysis results are reported, so that when the data statistical analysis of the previous layer is carried out, the data statistical analysis process of the next layer does not need to be repeated, the operation resources of the data processing equipment of the previous layer are saved, when a user needs to inquire the data statistical analysis results of the next layer, the data statistical analysis results reported by the next layer do not need to be repeated, and the response speed of the energy internet data processing system is improved.
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Fig. 1 is a schematic structural diagram of an energy internet data processing system according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of an energy internet data processing system according to a second embodiment of the present invention.
Detailed Description
As shown in fig. 1, in a first embodiment of the present invention, an energy internet data processing system is provided, which includes a near cloud edge server, a plurality of near end edge data processing devices accessing the near cloud edge server, and a plurality of terminal energy devices accessing the near end edge data processing devices. The following description will be made separately.
And the terminal energy equipment is used for reporting the energy data of the operation of the terminal energy equipment and the statistical result of the energy data to the near-end edge data processing equipment. It should be noted that, in the energy internet, a plurality of terminal energy devices located at the end are distributed, and these terminal energy devices include power generation devices, energy storage devices, and power utilization devices. The energy internet data processing system needs to collect the energy data of the terminal energy devices and perform big data processing. Therefore, the terminal energy devices also have the function of reporting the energy data of the terminal energy devices. And the terminal energy devices can also identify whether the terminal energy devices have faults according to the running data of the terminal energy devices and report the faults. The energy data of the terminal energy device comprises the current, the voltage, the power and the energy consumption of the terminal energy device.
The near-end edge data processing device is used for storing energy data and energy data statistical results reported by all terminal energy devices connected to the near-end edge data processing device and performing energy data statistical analysis. It should be noted that, in the energy internet, a large number of terminal energy devices are usually gathered together, for example, in a factory, a large number of electric devices exist; in a power plant, there is a large number of power generation equipment. Therefore, the near-end edge data processing device can be arranged at a local end where a large amount of terminal energy devices exist to store all energy data and energy data statistical results reported by the terminal energy devices connected to the near-end edge data processing device and perform energy data statistical analysis. The near-end edge data processing device may be implemented by a locally-provided computer, for example, a computer provided in a factory and dedicated to processing energy data. The near-end edge data processing equipment is also used for judging whether the energy data reported by the current terminal energy equipment is abnormal or not according to the big data analysis result of the energy data reported by all the terminal energy equipment accessed to the near-end edge data processing equipment.
The near cloud edge server is used for storing all energy data and energy data statistical analysis results reported by near end edge data processing equipment accessed to the near cloud edge server and performing energy data statistical analysis.
It should be noted that the near cloud edge server is disposed in a large area relative to the factory or power plant, for example, may be disposed in a city, and all near edge data processing devices in the city are connected to store and process all energy data in the city. When a certain terminal energy device is abnormal, the near cloud edge server is further used for judging the reason of the abnormality of the terminal energy device according to the big data analysis result of the energy data. For example, if the working voltage of a certain direct current switch is 36-72V DC, if the absolute value of the input voltage is greater than 72V DC, the switch may be burnt, if the absolute value is less than 36V DC, the switch cannot stably operate, the transmission rate is high, the voltage change can be detected in real time at the equipment end, and when the absolute value of the input voltage is less than 36V DC, the low-voltage alarm of the equipment is reported. The near cloud edge server can analyze data reported by each terminal energy device for a long time through a big data analysis technology, and can judge that the failure reason is the device damage caused by poor electric energy quality.
In the embodiment of the invention, the terminal energy device reports the energy data of the terminal energy device to the bus, and the near-end edge data processing device monitors the energy data reported by the terminal energy device on the bus. The near-end edge data processing equipment and the near-cloud edge server are in communication connection through a TCP/IP protocol.
As shown in fig. 2, compared with the first embodiment, the energy internet data processing system provided in the second embodiment of the present invention further includes a sub data center and a total data center disposed in the cloud.
The sub data center is used for storing the energy data and the energy data statistical analysis results reported by the near cloud edge servers accessed to the sub data center and further performing energy data statistical analysis. The branch data centers can be arranged in each province, and are in communication connection with all the near cloud edge servers in the province, so that all energy data in the province can be acquired.
And the total data center is used for storing the energy data and the energy data statistical analysis results reported by all the sub data centers accessed to the total data center and further performing energy data statistical analysis. And only one total data center is in communication connection with all the sub data centers, so that all the energy data can be acquired.
The near cloud edge server, the sub data center and the total data center are arranged in the same data platform by adopting a platform framework. The data platform may be implemented using a service cluster. The data are pushed layer by layer from bottom to top in real time through a data transmission service from the terminal energy device to the near-end edge data processing device, from the near-end edge data processing device to the near-cloud edge server, from the near-cloud edge server to the score data center, and from the score data center to the total data center. For example, when energy data statistics is performed, data statistics needs to be performed on each data processing layer, and data statistics results are reported layer by layer, so that the calculation amount of data statistics on the previous layer can be reduced, and the data acquisition speed of a user is increased.
The terminal energy device and the proximal edge processor may adopt an embedded operating system. The near cloud edge server, the sub data center and the total data center can adopt a desktop type operating system.
A user can access the energy Internet system through a fixed link address, only a fixed website is required to be input into a browser, and the energy Internet system autonomously selects a nearby sub data center to connect through forward and reverse proxy technologies and then logs in the energy Internet system. For example, when a user wants to access the energy internet system in the pearl sea, the user only needs to input a fixed website in a browser and log in, and the proxy server automatically selects a nearby Guangdong data center to connect, so that the user actually accesses the energy internet system through the Guangdong data center.
In summary, the energy internet data processing system provided by the invention comprises a near cloud edge server, a near end edge data processing device accessed to the near cloud edge server, and a terminal energy device accessed to the near end edge data processing device, wherein when each data processing layer performs data processing, the energy data is subjected to statistical analysis and data statistical analysis results are reported, so that when the data statistical analysis of the previous layer is performed, the data statistical analysis process of the next layer is not required to be repeated, the operation resources of the data processing device of the previous layer are saved, when a user needs to query the data statistical analysis results of the next layer, the data statistical analysis is not required to be repeated, the data statistical analysis results reported by the next layer are directly adopted, and the response speed of the energy internet data processing system is improved.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. An energy Internet data processing system is characterized by comprising a near cloud edge server, a near end edge data processing device accessed to the near cloud edge server and a terminal energy device accessed to the near end edge data processing device,
the terminal energy device is used for reporting the energy data of the terminal energy device and the statistical result of the energy data to the near-end edge data processing device;
the near-end edge data processing equipment is used for storing energy data and energy data statistical results reported by all terminal energy equipment accessed to the near-end edge data processing equipment and performing energy data statistical analysis;
the near cloud edge server is used for storing all energy data and energy data statistical analysis results reported by near end edge data processing equipment accessed to the near cloud edge server and performing energy data statistical analysis.
2. The energy internet data processing system of claim 1, further comprising:
and the sub data center is arranged at the cloud end and used for storing all the energy data and the energy data statistical analysis results reported by the near cloud edge servers accessed to the sub data center and further performing energy data statistical analysis.
3. The energy internet data processing system of claim 2, further comprising:
and the total data center is used for storing the energy data and the energy data statistical analysis results reported by all the sub data centers accessed to the total data center and further performing energy data statistical analysis.
4. The energy internet data processing system of claim 2, wherein the near cloud edge server, the sub data center, and the total data center are disposed in a same data platform using a platform architecture.
5. The energy internet data processing system of claim 1, wherein the energy data of the terminal energy device includes current, voltage, power and energy consumption of the terminal energy device operation.
6. The system as claimed in claim 1, wherein the terminal energy device is further configured to identify whether its own energy data is abnormal, and report the abnormal information to the near-end edge data processing device.
7. The energy internet data processing system of claim 1, wherein the near-end edge data processing device is further configured to determine whether the energy data reported by the current terminal energy device is abnormal according to a big data analysis result of the energy data reported by all terminal energy devices accessing the near-end edge data processing device.
8. The energy internet data processing system of claim 1, wherein when the terminal energy device is abnormal, the near cloud edge server is further configured to determine a cause of the abnormality of the terminal energy device according to a big data analysis result of the energy data.
9. The energy internet data processing system of claim 1, wherein the terminal energy device reports its own energy data to the bus, and the near-end edge data processing device listens on the bus for the energy data reported by the terminal energy device.
10. The energy internet data processing system of claim 1, wherein the near-end edge data processing device and the near-cloud edge server are communicatively connected via a TCP/IP protocol.
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