CN111314469A - Power equipment remote monitoring system and method based on big data cloud computing - Google Patents
Power equipment remote monitoring system and method based on big data cloud computing Download PDFInfo
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- CN111314469A CN111314469A CN202010105173.5A CN202010105173A CN111314469A CN 111314469 A CN111314469 A CN 111314469A CN 202010105173 A CN202010105173 A CN 202010105173A CN 111314469 A CN111314469 A CN 111314469A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/04—Protocols for data compression, e.g. ROHC
Abstract
The invention relates to a power equipment remote monitoring system and method based on big data cloud computing, which comprises the following steps: the data acquisition end is provided with data acquisition equipment at the power equipment end and acquires data information of the power equipment; the data transmission module collects various electric power equipment data information collected by the data collection end and compresses the collected data; the wireless transmission module is used for transmitting the compressed data through a wireless network; the remote power service platform receives the data transmitted by the wireless communication network and decompresses the data; and the cloud server module is used for carrying out time-series sample division on the acquired data parameter values, carrying out trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviate from the data standard value.
Description
Technical Field
The invention belongs to the technical field of power equipment, and particularly relates to a power equipment remote monitoring system and method based on big data cloud computing.
Background
With the continuous progress and development of science and technology, the smart grid has gradually popularized the whole grid system; the information acquisition means of the power equipment is gradually improved.
However, the power equipment in the prior art still has the possibility of failure, and the power equipment which is likely to have failure cannot be monitored in the prior art, and cannot be known in advance; there is a certain potential safety hazard. This is a disadvantage of the prior art.
In view of this, the invention provides a system and a method for remotely monitoring electric power equipment based on big data cloud computing; it is very necessary to solve the above-mentioned defects existing in the prior art.
Disclosure of Invention
The present invention is directed to provide a system and a method for remotely monitoring an electrical device based on big data cloud computing, so as to solve the above technical problems.
In order to achieve the purpose, the invention provides the following technical scheme:
a big data cloud computing-based power equipment remote monitoring system comprises:
the data acquisition end sets up data acquisition equipment at the power equipment end, gathers power equipment's data information, data acquisition equipment can be: the device comprises a voltage data information acquisition device, a current data acquisition device, a power data acquisition device and an impedance data acquisition device; carrying out data acquisition on the power equipment in an all-around manner; the acquisition equipment is provided with a Beidou positioning chip; when the acquisition equipment uploads the acquired data, the Beidou positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; the first-aid repair is convenient;
the data transmission module collects various electric power equipment data information collected by the data collection end and compresses the collected data;
the wireless transmission module is used for transmitting the compressed data through a wireless network;
the remote power service platform receives the data transmitted by the wireless communication network and decompresses the data;
and the cloud server module is used for carrying out time-series sample division on the acquired data parameter values, carrying out trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviate from the data standard value.
Preferably, the remote monitoring system further comprises:
the data encryption module encrypts the compressed data after the data compression processing, and then transmits the data through the wireless transmission module;
the remote power service platform receives the encrypted data and then decrypts the encrypted data through the data decryption module; the safety of data transmission is improved.
Preferably, the remote monitoring system further comprises:
the cloud server module processes the data and then displays the processed data through the data display module; specially labeling the data deviating from the standard value of the data; is convenient for rush repair.
Preferably, the remote monitoring system further comprises:
the alarm module is used for sending alarm information to the alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
The invention also provides a power equipment remote monitoring method based on big data cloud computing, which comprises the following steps:
the data acquisition step, set up the data acquisition equipment at the power equipment end, gather the data information of power equipment, the data acquisition equipment can be: the device comprises a voltage data information acquisition device, a current data acquisition device, a power data acquisition device and an impedance data acquisition device; carrying out data acquisition on the power equipment in an all-around manner; the acquisition equipment is provided with a Beidou positioning chip; when the acquisition equipment uploads the acquired data, the Beidou positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; the first-aid repair is convenient;
the data transmission step, collecting the data information of various electric power equipment collected by the data collection end, and compressing the collected data;
wireless communication, namely transmitting the compressed data through a wireless network;
the remote terminal receives the data transmitted by the wireless communication network and decompresses the data;
and the cloud server processing step comprises the steps of carrying out sample division on the acquired data parameter values in a time sequence, carrying out data trend measurement and calculation on the divided sample data parameters, and giving an alarm if the measured and calculated data deviates from the standard value of the data.
Preferably, the remote monitoring method further comprises:
a step of data encryption, after data compression, the compressed data is encrypted and then transmitted through a wireless network;
a step of data decryption, in which the remote terminal decrypts the received data after receiving the encrypted data; the safety of data transmission is improved.
Preferably, the remote monitoring method further comprises:
the data display step, the cloud server processes the data and displays the data through a data display module; specially labeling the data deviating from the standard value of the data; is convenient for rush repair.
Preferably, the remote monitoring method further comprises:
alarming, namely sending alarm information to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
The method has the advantages that the data of the electric power equipment are remotely monitored, corresponding data information is acquired, and the possibility of the electric power equipment breaking down is predicted; rush repair is carried out in time; the possibility of accidents is reduced. In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
Fig. 1 is a schematic block diagram of a big data cloud computing-based power equipment remote monitoring system provided by the invention.
Fig. 2 is a flowchart of a method for remotely monitoring an electrical device based on big data cloud computing according to the present invention.
The system comprises a data acquisition end 1, a data transmission module 2, a wireless transmission module 3, a remote power service platform 4, a cloud server module 5, a data encryption module 6, a data decryption module 7, a data display module 8 and an alarm module 9.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings by way of specific examples, which are illustrative of the present invention and are not limited to the following embodiments.
Example 1:
as shown in fig. 1, the power equipment remote monitoring system based on big data cloud computing provided in this embodiment includes:
data acquisition end 1 sets up data acquisition equipment at the power equipment end, gathers power equipment's data information, data acquisition equipment can be: the device comprises a voltage data information acquisition device, a current data acquisition device, a power data acquisition device and an impedance data acquisition device; carrying out data acquisition on the power equipment in an all-around manner; the acquisition equipment is provided with a Beidou positioning chip; when the acquisition equipment uploads the acquired data, the Beidou positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; the first-aid repair is convenient;
the data transmission module 2 collects various electric power equipment data information collected by the data collection end and compresses the collected data;
the wireless transmission module 3 is used for transmitting the compressed data through a wireless network;
the remote electric power service platform 4 is used for receiving the data transmitted by the wireless communication network and decompressing the data;
the cloud server module 5 is used for carrying out time-series sample division on the acquired data parameter values, carrying out trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviate from the data standard value;
the remote monitoring system also comprises:
the data encryption module 6 is used for encrypting the compressed data after the data compression processing and then transmitting the data through the wireless transmission module;
the data decryption module 7 is used for decrypting the encrypted data after the remote power service platform receives the encrypted data; the safety of data transmission is improved.
The data display module 8 is used for displaying the processed data through the data display module; specially labeling the data deviating from the standard value of the data; is convenient for rush repair.
The alarm module 9 is used for sending alarm information to the alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
Example 2:
as shown in fig. 2, the method for remotely monitoring an electrical device based on big data cloud computing provided by this embodiment includes the following steps:
the data acquisition step, set up the data acquisition equipment at the power equipment end, gather the data information of power equipment, the data acquisition equipment can be: the device comprises a voltage data information acquisition device, a current data acquisition device, a power data acquisition device and an impedance data acquisition device; carrying out data acquisition on the power equipment in an all-around manner; the acquisition equipment is provided with a Beidou positioning chip; when the acquisition equipment uploads the acquired data, the Beidou positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; the first-aid repair is convenient;
the data transmission step, collecting the data information of various electric power equipment collected by the data collection end, and compressing the collected data;
wireless communication, namely transmitting the compressed data through a wireless network;
the remote terminal receives the data transmitted by the wireless communication network and decompresses the data;
the cloud server processing step, namely performing time-series sample division on the acquired data parameter values, performing trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviate from the data standard value;
a step of data encryption, after data compression, the compressed data is encrypted and then transmitted through a wireless network;
a step of data decryption, in which the remote terminal decrypts the received data after receiving the encrypted data; the safety of data transmission is improved;
the data display step, the cloud server processes the data and displays the data through a data display module; specially labeling the data deviating from the standard value of the data; the first-aid repair is convenient;
alarming, namely sending alarm information to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
The above disclosure is only for the preferred embodiments of the present invention, but the present invention is not limited thereto, and any non-inventive changes that can be made by those skilled in the art and several modifications and amendments made without departing from the principle of the present invention shall fall within the protection scope of the present invention.
Claims (8)
1. The utility model provides a power equipment remote monitering system based on big data cloud calculates which characterized in that includes:
a data acquisition end, wherein the power equipment end is provided with data acquisition equipment for acquiring data information of the power equipment,
the data transmission module collects various electric power equipment data information collected by the data collection end and compresses the collected data;
the wireless transmission module is used for transmitting the compressed data through a wireless network;
the remote power service platform receives the data transmitted by the wireless communication network and decompresses the data;
and the cloud server module is used for carrying out time-series sample division on the acquired data parameter values, carrying out trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviate from the data standard value.
2. The big data cloud computing-based power equipment remote monitoring system according to claim 1, wherein the remote monitoring system further comprises:
the data encryption module encrypts the compressed data after the data compression processing, and then transmits the data through the wireless transmission module;
and the remote power service platform decrypts the encrypted data through the data decryption module after receiving the encrypted data.
3. The big data cloud computing-based power equipment remote monitoring system according to claim 2, wherein the remote monitoring system further comprises:
the cloud server module processes the data and then displays the processed data through the data display module; and specially labeling the data deviating from the standard value of the data.
4. The big data cloud computing-based power equipment remote monitoring system according to claim 3, wherein the remote monitoring system further comprises:
the alarm module is used for sending alarm information to the alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
5. A power equipment remote monitoring method based on big data cloud computing is characterized by comprising the following steps:
a data acquisition step, namely arranging data acquisition equipment at the power equipment end to acquire data information of the power equipment;
the data transmission step, collecting the data information of various electric power equipment collected by the data collection end, and compressing the collected data;
wireless communication, namely transmitting the compressed data through a wireless network;
the remote terminal receives the data transmitted by the wireless communication network and decompresses the data;
and processing by the cloud server, namely performing time-series sample division on the acquired data parameter values, performing trend measurement and calculation on the divided data parameter value samples, and alarming when the measured and calculated data deviates from the data standard value.
6. The big data cloud computing-based power equipment remote monitoring method according to claim 5, wherein the remote monitoring method further comprises the following steps:
a step of data encryption, after data compression, the compressed data is encrypted and then transmitted through a wireless network;
and a step of data decryption, in which the remote terminal decrypts the received data after receiving the encrypted data.
7. The big data cloud computing-based power equipment remote monitoring method according to claim 6, wherein the remote monitoring method further comprises the following steps:
the data display step, the cloud server processes the data and displays the data through a data display module; and specially labeling the data deviating from the standard value of the data.
8. The big data cloud computing-based power equipment remote monitoring method according to claim 7, wherein the remote monitoring method further comprises the following steps:
alarming, namely sending alarm information to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202010105173.5A CN111314469A (en) | 2020-02-20 | 2020-02-20 | Power equipment remote monitoring system and method based on big data cloud computing |
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| CN202010105173.5A CN111314469A (en) | 2020-02-20 | 2020-02-20 | Power equipment remote monitoring system and method based on big data cloud computing |
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Cited By (3)
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| CN112910916A (en) * | 2021-02-23 | 2021-06-04 | 内江佳路云网络科技有限公司 | Intelligent home gateway system information encryption processing method based on cloud computing |
| CN113819940A (en) * | 2021-07-29 | 2021-12-21 | 福建省永正工程质量检测有限公司 | Public municipal and house building facility health monitoring research and application |
| CN115051840B (en) * | 2022-05-31 | 2023-11-07 | 国网安徽省电力有限公司信息通信分公司 | Safety monitoring system for data transmission |
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Cited By (3)
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