CN111325397A - Data analysis system based on power data backup state - Google Patents
Data analysis system based on power data backup state Download PDFInfo
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- CN111325397A CN111325397A CN202010102673.3A CN202010102673A CN111325397A CN 111325397 A CN111325397 A CN 111325397A CN 202010102673 A CN202010102673 A CN 202010102673A CN 111325397 A CN111325397 A CN 111325397A
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- 238000007405 data analysis Methods 0.000 title claims abstract description 13
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/16—Error detection or correction of the data by redundancy in hardware
- G06F11/20—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
- G06F11/202—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements where processing functionality is redundant
- G06F11/2023—Failover techniques
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Abstract
The invention relates to a data analysis system based on a power data backup state, which comprises a data reading module; a data communication module; the system comprises a remote data receiving terminal, a main server and a standby server, wherein the main server and the standby server are two sets of same server systems and read power equipment data acquired by the remote data receiving terminal; the server control switching module controls the switching between the main server and the standby server; the server monitoring module monitors the interrupt data information of the main server and the standby server and controls the server control switching module to realize switching between the main server and the standby server; and the trend analysis and prediction module is respectively connected with the main server and the standby server, divides the power data parameter values according to the time sequence, samples the divided power data parameters, performs trend measurement and calculation on the sampled sample data, compares the measured and calculated parameter value with the standard value of the parameter, and gives an alarm if the measured and calculated parameter value deviates.
Description
Technical Field
The invention belongs to the technical field of power equipment, and particularly relates to a data analysis system based on a power data backup state.
Background
The power grid intellectualization is more and more mature under the progress and development of science and technology; the normal operation of the power equipment is an important guarantee for the normal power transmission of the whole power grid; and the normal electricity utilization of the power consumer is guaranteed.
However, in the prior art, the monitoring of the power equipment can only acquire fault information after the equipment fails, and the prediction of the power equipment cannot be realized; resulting in accidents. In addition, the monitoring of the power equipment in the prior art is not comprehensive; moreover, the server for processing the power data in the prior art usually has the situation of unexpected interruption; resulting in monitoring of the entire power data being disabled. This is a disadvantage of the prior art.
In view of the above, the present invention provides a data analysis system based on a power data backup status; it is very necessary to solve the above-mentioned defects existing in the prior art.
Disclosure of Invention
The present invention is directed to a data analysis system based on a power data backup status, so as to solve the above technical problems.
In order to achieve the purpose, the invention provides the following technical scheme:
a data analysis system based on a power data backup status, comprising:
the data reading module is used for reading various parameters in the operation process of the power equipment;
the data communication module is used for remotely transmitting the operating parameters of the power equipment through a wireless communication network;
the remote data receiving terminal is used for receiving the parameter data of the electrical equipment read by the data reading module;
the main server and the standby server are two sets of same server systems and read the power equipment data acquired by the remote data receiving terminal;
the server control switching module controls the switching between the main server and the standby server;
the server monitoring module monitors the interrupt data information of the main server and the standby server and controls the server control switching module to realize switching between the main server and the standby server;
and the trend analysis and prediction module is respectively connected with the main server and the standby server, divides the power data parameter values according to the time sequence, samples the divided power data parameters, performs trend measurement and calculation on the sampled sample data, compares the measured and calculated parameter value with the standard value of the parameter, and gives an alarm if the measured and calculated parameter value deviates.
Preferably, the data reading module is configured with a GPS positioning chip; when the data reading module uploads the acquired data, the GPS positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; is convenient for rush repair.
Preferably, the wireless communication network adopted in the data communication module is a ZIGBEE data communication network, and the communication network has strong signal long-distance transmission performance and high network transmission safety.
Preferably, the trend analysis and prediction module sends alarm information to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
Preferably, in the data reading module, the collecting data includes collecting a current data value, a temperature data value, and an impedance data value of the power equipment.
Preferably, after the main server is interrupted and recovered, the interruption recovery instruction is automatically sent to the server monitoring module, and after the server monitoring module receives the interruption recovery instruction, the server monitoring module sends a switching instruction to the server control switching module to switch the standby server to the main server.
The method has the advantages that the trend analysis and prediction module carries out data trend prediction on the collected power equipment, and when the predicted value deviates from the standard value, the power equipment is determined to be possibly out of order, and related personnel are informed to overhaul in time; and through the mutual switching between the main server and the standby server, the condition that the whole monitoring is in a paralyzed state due to the interruption of the server is avoided. 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 data analysis system based on a power data backup state according to the present invention.
The system comprises a data reading module, a data communication module, a remote data receiving terminal, a main server, a standby server, a server control switching module, a server monitoring module and a trend analysis and prediction module, wherein the data reading module, the data communication module, the remote data receiving terminal, the main server, the standby server, the server control switching module, the server monitoring module and the trend analysis and prediction module are all adopted.
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.
As shown in fig. 1, the data analysis system based on the power data backup status provided in this embodiment includes:
the data reading module 1 is used for reading various parameters in the operation process of the power equipment; the data reading module is provided with a GPS positioning chip; when the data reading module uploads the acquired data, the GPS positioning chip uploads the acquired position information at the same time; the fault position can be conveniently and timely acquired; is convenient for rush repair. The data acquisition comprises the acquisition of current data values, temperature data values and impedance data values of the power equipment.
The data communication module 2 is used for remotely transmitting the operating parameters of the power equipment through a wireless communication network; the adopted wireless communication network is a ZIGBEE data communication network, the remote signal transmission performance of the communication network is strong, and the network transmission safety is high.
The remote data receiving terminal 3 is used for receiving the parameter data of the electrical equipment read by the data reading module;
the main server 4 and the standby server 5 are two sets of same server systems and read the power equipment data acquired by the remote data receiving terminal;
the server control switching module 6 is used for controlling the mutual switching between the main server and the standby server;
the server monitoring module 7 is used for monitoring the interrupt data information of the main server and the standby server and controlling the server control switching module to realize the switching between the main server and the standby server;
and the trend analysis and prediction module 8 is respectively connected with the main server and the standby server, divides the power data parameter values according to the time sequence, samples the divided power data parameters, performs trend measurement and calculation on the sampled sample data, compares the measured and calculated parameter values with the standard values of the parameters, and gives an alarm if the measured and calculated parameter values deviate. Sending alarm information to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
And after the main server is interrupted and recovered, the interruption recovery instruction is automatically sent to the server monitoring module, and after the server monitoring module receives the interruption recovery instruction, the server monitoring module sends a switching instruction to the server control switching module to switch the standby server to the main server.
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 (6)
1. A data analysis system based on a power data backup status, comprising:
the data reading module is used for reading various parameters in the operation process of the power equipment;
the data communication module is used for remotely transmitting the operating parameters of the power equipment through a wireless communication network;
the remote data receiving terminal is used for receiving the parameter data of the electrical equipment read by the data reading module;
the main server and the standby server are two sets of same server systems and read the power equipment data acquired by the remote data receiving terminal;
the server control switching module controls the switching between the main server and the standby server;
the server monitoring module monitors the interrupt data information of the main server and the standby server and controls the server control switching module to realize switching between the main server and the standby server;
and the trend analysis and prediction module is respectively connected with the main server and the standby server, divides the power data parameter values according to the time sequence, samples the divided power data parameters, performs trend measurement and calculation on the sampled sample data, compares the measured and calculated parameter value with the standard value of the parameter, and gives an alarm if the measured and calculated parameter value deviates.
2. The system according to claim 1, wherein the data reading module is configured with a GPS positioning chip.
3. The system of claim 2, wherein the data communication module employs a ZIGBEE data communication network as a wireless communication network.
4. The data analysis system based on the power data backup state as claimed in claim 3, wherein in the trend analysis and prediction module, alarm information is sent to an alarm terminal; and the alarm terminal closest to the fault position performs fault detection processing.
5. The data analysis system based on the power data backup state as claimed in claim 4, wherein in the data reading module, the data collection comprises collecting a current data value, a temperature data value and an impedance data value of the power equipment.
6. The data analysis system based on the power data backup state as claimed in claim 5, wherein the main server automatically sends an interrupt recovery instruction to the server monitoring module after the interrupt recovery, and the server monitoring module sends a switching instruction to the server control switching module after receiving the interrupt recovery instruction, and switches the standby server to the main server.
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CN202010102673.3A CN111325397A (en) | 2020-02-19 | 2020-02-19 | Data analysis system based on power data backup state |
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CN202010102673.3A CN111325397A (en) | 2020-02-19 | 2020-02-19 | Data analysis system based on power data backup state |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115102798A (en) * | 2022-06-20 | 2022-09-23 | 镇江港务集团有限公司 | Emergency data backup system for equipment power failure |
CN116169793A (en) * | 2023-04-25 | 2023-05-26 | 国网山东省电力公司胶州市供电公司 | Supervision and prediction system for power equipment |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106952028A (en) * | 2017-03-13 | 2017-07-14 | 杭州安脉盛智能技术有限公司 | Dynamoelectric equipment failure is examined and health control method and system in advance |
CN108537426A (en) * | 2018-03-28 | 2018-09-14 | 广州供电局有限公司 | Power equipment operating status method of estimation, device and computer equipment |
CN109698766A (en) * | 2018-12-19 | 2019-04-30 | 国网辽宁省电力有限公司信息通信分公司 | The method and system of communication power supply accident analysis |
-
2020
- 2020-02-19 CN CN202010102673.3A patent/CN111325397A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106952028A (en) * | 2017-03-13 | 2017-07-14 | 杭州安脉盛智能技术有限公司 | Dynamoelectric equipment failure is examined and health control method and system in advance |
CN108537426A (en) * | 2018-03-28 | 2018-09-14 | 广州供电局有限公司 | Power equipment operating status method of estimation, device and computer equipment |
CN109698766A (en) * | 2018-12-19 | 2019-04-30 | 国网辽宁省电力有限公司信息通信分公司 | The method and system of communication power supply accident analysis |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115102798A (en) * | 2022-06-20 | 2022-09-23 | 镇江港务集团有限公司 | Emergency data backup system for equipment power failure |
CN115102798B (en) * | 2022-06-20 | 2023-08-22 | 镇江港务集团有限公司 | Emergency data backup system for equipment outage |
CN116169793A (en) * | 2023-04-25 | 2023-05-26 | 国网山东省电力公司胶州市供电公司 | Supervision and prediction system for power equipment |
CN116169793B (en) * | 2023-04-25 | 2023-08-11 | 国网山东省电力公司胶州市供电公司 | Supervision and prediction system for power equipment |
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