CN107843811B - analysis method and system for online monitoring data of power grid equipment - Google Patents
analysis method and system for online monitoring data of power grid equipment Download PDFInfo
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- CN107843811B CN107843811B CN201711065623.7A CN201711065623A CN107843811B CN 107843811 B CN107843811 B CN 107843811B CN 201711065623 A CN201711065623 A CN 201711065623A CN 107843811 B CN107843811 B CN 107843811B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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Abstract
The invention relates to an analysis method of on-line monitoring data of power grid equipment, which comprises the following steps: 1) arranging a controller, a plurality of sensors and a monitor on the power grid equipment; 2) the controller controls the sensor to acquire sensing data in real time and controls the monitor to acquire working data of the power grid equipment in real time; 3) the controller processes and uploads the acquired sensing data and the acquired working data; 4) the server receives the working data and writes the working data into a data file, receives the sensing data and stores the sensing data in a database; 5) and the display terminal reads the data file and the database and displays the working data and the sensing data.
Description
Technical Field
the invention relates to the technical field of power grids, in particular to a method and a system for analyzing online monitoring data of power grid equipment.
Background
The safety of the equipment is the basis of safe, reliable and stable operation of the power grid, the equipment is effectively and accurately monitored and diagnosed, and the method is an important way for improving the power supply reliability and the intelligent level of the operation of the power grid. With the continuous expansion of the power grid scale, the workload of monitoring and operating maintenance of the power grid is increasing, and the technology for remotely monitoring and analyzing the working condition of the primary equipment of the transformer substation in real time is also becoming popular.
the complete and real-time monitoring data of the equipment is the basis for evaluating the state of the equipment, and in the current scheme for monitoring the power grid equipment in real time, the real-time monitoring data is collected by an online monitoring device and is directly transmitted to a remote center through a comprehensive processing unit of a transformer substation or an online monitoring server.
However, due to reasons such as field interference and reliability of the monitoring device, unreasonable mutation exists in the monitoring data received by the state access controller, the unreasonable data is uploaded to seriously affect the evaluation of the superior master station on the running state of the primary equipment, the acquired data is appropriately processed on the state access controller and then is stored and forwarded, so that the storage space and the communication bandwidth can be effectively saved, and unreasonable data can be effectively removed. At present, the common method is that the state access controller extracts the sampled data at equal intervals for storage and forwarding. The equal-interval sampling method cannot avoid unreasonable abrupt data uploading, and meanwhile, part of monitored useful characteristic information can be omitted.
Disclosure of Invention
The invention provides an analysis method for online monitoring data of power grid equipment, aiming at overcoming the defects of the prior art.
in order to realize the purpose, the technical scheme is as follows:
a method for analyzing online monitoring data of power grid equipment comprises the following steps:
1) Arranging a controller, a plurality of sensors and a monitor on the power grid equipment;
2) The controller controls the sensor to acquire sensing data in real time and controls the monitor to acquire working data of the power grid equipment in real time;
3) the controller processes and uploads the acquired sensing data and the acquired working data;
4) The server receives the working data and writes the working data into a data file, receives the sensing data and stores the sensing data in a database;
5) And the display terminal reads the data file and the database and displays the working data and the sensing data.
preferably, the specific process of processing the sensing data by the controller is as follows:
every other preset time period, the controller calculates the accurate value of the sensing data in the preset time period, and the method specifically comprises the following steps:
Arranging all the sensing data in the preset time period from small to large in sequence, dividing the equal difference into a plurality of first intervals, counting the number of the sensing data in each first interval, calculating the average value, calculating the weight of each first interval, and performing weighting processing on the average value of each first interval to obtain a first processing value;
arranging all the sensing data in the preset time period according to receiving time points, dividing the sensing data into a plurality of second intervals according to equal time intervals, removing the maximum value and the minimum value of the sensing data of each second interval, calculating the mean value of each second interval, comparing the mean values of the second intervals with the accurate value of the sensing data of the previous preset time period, and taking the maximum deviation as a second processing value;
and calculating the average value of the first processing value and the second processing value to obtain the accurate value of the sensing data of the preset time period.
preferably, the acquisition cycle of the sensor and the monitor is 1s, and the length of each preset time period is 5 min.
Preferably, the preset time period is divided into ten first intervals, and the preset time period is divided into five second intervals.
Preferably, the sensing data collected by the sensor comprises leakage current of a capacitance device, leakage current of an arrester, transformer winding temperature and transformer oil temperature.
preferably, the working data collected by the monitor includes the temperature, the working voltage and the working current of the power grid equipment.
Preferably, the display terminal updates every 1h and displays the updated working data.
meanwhile, the invention also provides a system applying the method, and the specific scheme is as follows: the system comprises a controller, a sensor, a monitor, a server and a display terminal.
compared with the prior art, the invention has the beneficial effects that:
after the real-time data are monitored, the obtained real-time data are classified through a set modeling mode, the classified real-time data are respectively subjected to data processing and then transmitted to the server, and for different types of sensing data, accurate values of the sensing data representing the preset time period can be generated according to the same standard data processing mode, unreasonable mutation data sent by the sensors can be filtered, useful characteristic information in the sensing data can be retained to the maximum extent, the processed accurate values of the sensing data have better stability and practical value, and differential influences caused by different types of data of different types of sensors are eliminated, so that the accuracy of power grid state evaluation can be realized, and the stability and reliability of power grid operation are improved.
Drawings
FIG. 1 is a flow chart of an analysis method.
Fig. 2 is a flowchart of the processing of the sensed data by the controller.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
The invention is further illustrated below with reference to the figures and examples.
Example 1
As shown in fig. 1 and 2, the present invention provides a method for analyzing online monitoring data of a power grid device, where a controller, a plurality of sensors and a monitor are arranged on the power grid device, the controller receives operation control of a display terminal, controls the plurality of sensors and the detector to respectively collect data, manages and uploads the collected data to a server, the plurality of sensors monitor different types of parameters, and the monitor monitors a working state and a working log of the power grid device.
the controller controls the sensor to acquire sensing data in real time, such as leakage current, leakage current of the lightning arrester, transformer winding temperature, transformer oil temperature and the like, and controls the monitor to acquire working data of the power grid equipment in real time, such as temperature, working voltage, working current and the like.
The controller processes and uploads the acquired sensing data and the working data, the data acquired by the sensor and the detector are real-time, the data processing of the sensing data by the controller is sectional, and the processing of the working data is one by one.
and the server receives the processed working data and writes the working data into a data file, and the sensing data is stored in a database.
The display terminal reads the data file and the database, displays the working data and the sensing data, can display the working data and the sensing data on the interface in a trend graph mode, and can display the working data and the sensing data on the interface in a histogram mode, but is not limited to the form listed above.
The sensor and the monitor collect data in real time, for example, the collection frequency is 1s, the controller performs data processing on the sensing data, that is, every preset time period, for example, 5min, two different processing modes are respectively performed on all the sensing data of the preset time period, then the processing values obtained by the two processing modes are averaged to obtain the sensing accurate value of the preset time period, for different types of sensing data, the sensing accurate value representing the preset time period is generated according to the data processing mode of the same specification of the scheme, and the difference influence caused by different data types of different types of sensors is eliminated, specifically:
Arranging all the sensing data in the preset time period from small to large in sequence, dividing equal difference into a plurality of first intervals, namely the difference values of all the first intervals are equal, but the number and the size of the covered sensing data are not necessarily the same, mainly acquiring representative balance points by the processing mode, wherein the more the number of the first intervals is, the more the division is fine, the more accurate the processing mode is, but the consumed memory and the required computing power are also high, when each preset time period is 5min, the more the number of the acquired sensing data is, dividing the preset time period into ten first intervals, counting the number of the sensing data in each first interval, calculating the average value, calculating the weight of each first interval, and after obtaining the average value and the weight of the sensing data in each first interval, performing weighting processing on the average value of each first interval, obtaining a first processing value;
arranging all the sensing data in the preset time period according to the receiving time points, dividing the sensing data into a plurality of second intervals according to the equal time intervals, namely the time intervals of all the second intervals are equal, but the number and the size of the covered sensing data are not necessarily the same, mainly capturing inflection points of trend change by the processing mode, dividing the preset time period into five second intervals, namely each second interval is 1 min, the covered data amount is about 60, removing the maximum value and the minimum value of the sensing data of all the second intervals, removing a plurality of maximum values and a plurality of minimum values when the number of the second intervals is small, removing only one maximum value and one minimum value when the number of the second intervals is large and the covered data amount is small, namely removing unreasonable mutation data, calculating the average value of all the second intervals, comparing the average value of the second intervals with the sensing accurate value of the previous preset time period, the deviation from the large value represents the overall trend change of the data instead of sudden change, the deviation from the small value represents that the data is overall more stable and has no trend change sign, the deviation from the large second interval is taken as a main reference second interval, the interval is meaningful, and the deviation from the maximum value is taken as a second processing value;
In order to balance the data accuracy and the data trend change sensitive capture of each preset time period, the average value of the first processing value and the second processing value is calculated to obtain the sensing accurate value of the preset time period, so that the method has better stability and practical value;
And the controller processes the working data, namely the working data at any moment exceed a threshold value representing normal carrying of the power grid equipment, namely an alarm is given, and otherwise, the working data at the moment are uploaded. When the working data is stable, the recording significance is not provided, and the memory is wasted by repeatedly loading and displaying, so that the display terminal only needs to be updated once at intervals and display the updated working data, for example, 1h, for the reference of the working personnel and the understanding of the current operating state of the power grid equipment.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (8)
1. a method for analyzing online monitoring data of power grid equipment is characterized by comprising the following steps: the method comprises the following steps:
1) Arranging a controller, a plurality of sensors and a monitor on the power grid equipment;
2) the controller controls the sensor to acquire sensing data in real time and controls the monitor to acquire working data of the power grid equipment in real time;
3) The controller processes and uploads the acquired sensing data and the acquired working data;
4) The server receives the working data and writes the working data into a data file, receives the sensing data and stores the sensing data in a database;
5) the display terminal reads the data file and the database and displays the working data and the sensing data;
the specific process of the controller for processing the sensing data is as follows:
every other preset time period, the controller calculates the accurate value of the sensing data in the preset time period, and the method specifically comprises the following steps:
Arranging all the sensing data in the preset time period from small to large in sequence, dividing the equal difference into a plurality of first intervals, counting the number of the sensing data in each first interval, calculating the average value, calculating the weight of each first interval, and performing weighting processing on the average value of each first interval to obtain a first processing value;
Arranging all the sensing data in the preset time period according to receiving time points, dividing the sensing data into a plurality of second intervals according to equal time intervals, removing the maximum value and the minimum value of the sensing data of each second interval, calculating the mean value of each second interval, comparing the mean values of the second intervals with the accurate value of the sensing data of the previous preset time period, and taking the maximum deviation as a second processing value;
And calculating the average value of the first processing value and the second processing value to obtain the accurate value of the sensing data of the preset time period.
2. The method for analyzing the on-line monitoring data of the power grid equipment as recited in claim 1, wherein: the acquisition cycle of the sensor and the monitor is 1s, and the length of each preset time period is 5 min.
3. The method for analyzing the on-line monitoring data of the power grid equipment as recited in claim 1, wherein: the preset time period is divided into ten first intervals, and the preset time period is divided into five second intervals.
4. The method for analyzing the on-line monitoring data of the power grid equipment as recited in claim 1, wherein: and the controller processes the working data, namely the working data at any moment exceed a threshold value representing normal carrying of the power grid equipment, namely an alarm is given, and otherwise, the working data at the moment are uploaded.
5. The method for analyzing the on-line monitoring data of the power grid equipment as claimed in any one of claims 1 to 4, wherein the method comprises the following steps: the sensing data collected by the sensor comprises leakage current of capacitance equipment, leakage current of a lightning arrester, transformer winding temperature and transformer oil temperature.
6. the method for analyzing the on-line monitoring data of the power grid equipment as claimed in any one of claims 1 to 4, wherein the method comprises the following steps: the working data collected by the monitor comprises the temperature, the working voltage and the working current of the power grid equipment.
7. the method for analyzing the on-line monitoring data of the power grid equipment as recited in claim 6, wherein: and the display terminal updates every 1h and displays the updated working data.
8. A system according to the method of any one of claims 1 to 7, characterized in that: the system comprises a controller, a sensor, a monitor, a server and a display terminal.
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| CN111460887B (en) * | 2020-02-24 | 2020-12-29 | 柳州达迪通信技术股份有限公司 | Optical cable monitoring and analyzing system based on Internet of things |
| CN113064098B (en) * | 2021-03-15 | 2022-10-21 | 国网宁夏电力有限公司 | Transformer low-voltage side single-phase earth fault judgment method based on lightning arrester |
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| CN104933203B (en) * | 2015-07-15 | 2018-07-06 | 中国科学院微电子研究所 | Data processing method and device in a kind of wireless sensor network |
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