CN115603448A - Low-voltage line operation and maintenance management method based on edge calculation - Google Patents
Low-voltage line operation and maintenance management method based on edge calculation Download PDFInfo
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- CN115603448A CN115603448A CN202211083528.0A CN202211083528A CN115603448A CN 115603448 A CN115603448 A CN 115603448A CN 202211083528 A CN202211083528 A CN 202211083528A CN 115603448 A CN115603448 A CN 115603448A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
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- Software Systems (AREA)
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- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
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Abstract
The application discloses a low-voltage line operation and maintenance management method based on edge calculation, which comprises the following steps: the scheduling processor acquires monitoring data; the scheduling processor carries out preprocessing operation on the monitoring data; the scheduling processor distributes the preprocessed data according to the calculation force, and the calculation force is fed back by the edge server; and the scheduling processor sends the distributed data processing request to the edge server, so that the edge server determines corresponding data resources and computing plug-ins according to the data processing request. The invention calculates the data transmitted in large scale in the low-voltage line monitoring by the edge calculation technology, ensures the timeliness of data processing while utilizing the idle calculation resources, is convenient for subsequent operation and maintenance, and effectively improves the data processing efficiency.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a low-voltage line operation and maintenance management method based on edge calculation.
Background
With the construction of smart power grids, large-scale power distribution network monitoring systems such as distribution and dispatching automation systems and power utilization information acquisition systems are developed and applied. The systems have the advantages that the real-time operation information of the power distribution network is obtained, a new technical means is provided for operation and inspection personnel to know the operation condition of the power distribution network in real time, the main functions comprise remote measurement, remote control, remote signaling and rich management and analysis functions, and large-scale quasi-real-time data cannot be analyzed and monitored.
In the prior art, in the process of monitoring the operation condition of a power distribution network, for example, monitoring the state of a low-voltage line, a large number of monitoring terminals are arranged on the side of the low-voltage line, and the terminals are used for collecting real-time data and transmitting the data to a data center. However, large-scale data acquisition brings great troubles to data processing of the data center, for example, data transmitted in a low-voltage line in one day reaches the GB level, but the data processing capacity of the data center is limited, and the processing rate is slower or even the level data cannot be processed when the level data is processed, so that the computing load of the cloud center is increased and the data processing efficiency of the data center is greatly reduced.
Disclosure of Invention
The invention aims to provide a low-voltage line operation and maintenance management method and system based on edge calculation, which are used for
The invention provides a low-voltage line operation and maintenance management method based on edge calculation, which comprises the following steps:
the scheduling processor acquires monitoring data;
the scheduling processor carries out preprocessing operation on the monitoring data;
the scheduling processor distributes the preprocessed data according to the calculation force, and the calculation force is fed back by the edge server;
the dispatching processor sends the distributed data processing request to the edge server so that the edge server determines corresponding data resources and computing plug-ins according to the data processing request,
optionally, the scheduling processor performs a preprocessing operation on the monitoring data, including:
performing smooth noise reduction processing on the monitoring data, and calculating to obtain noise-reduced data;
and carrying out normalization processing on the data subjected to noise reduction, and calculating to obtain normalized data.
Optionally, the formula of the smoothing noise reduction process is represented as:
wherein Y is i Representing the data of the original data at the moment i after noise reduction; d [ i ]]Raw data representing time i; d [ l ]]Raw data representing time l; max (D [ l ]]) Expressed as the maximum function value of the original data at time l; min (D [ l ]]) Expressed as the minimum function value of the original data at time l; i =1,2, \ 8230;, I, I is expressed as the maximum transmission time of the raw data uploaded to the scheduling processor.
Optionally, the formula of the normalization process is represented as:
wherein, G i Normalized data expressed as data subjected to noise reduction at the time i; y is i Raw data representing time iData after noise reduction; log10 () is expressed as a base-10 logarithmic function, Y c For the denoised data set, max (Y) c ) The maximum data value in the denoised data set.
The second aspect of the present invention provides a low voltage line operation and maintenance management method based on edge calculation, including:
the edge server sends the calculated force within a preset time to a scheduling processor, so that the scheduling processor distributes monitoring data according to the calculated force;
the edge server receives the distributed data processing request sent by the scheduling processor;
the edge server determines the data resources uploaded by the scheduling processor according to the data processing request;
the edge server calculates the data resources based on a preset calculation plug-in;
and the edge server outputs the calculation result of the data resource and feeds the calculation result back to the data center.
Optionally, the sending, by the edge server, the computing power within the preset time to the scheduling processor includes:
the edge server acquires the current operating frequency;
and the edge server determines a target operation frequency according to the current operation frequency and then sends the maximum calculation resource information corresponding to the target operation frequency to a scheduling processor.
Optionally, the computing, by the edge server, the data resource based on a preset computing plug-in includes:
the edge server loads the data resource to a preset data calculation frame;
and the edge server calls a computing plug-in integrated in the data computing framework to compute the data resource.
According to the technical scheme, the method has the following advantages: according to the method and the device, the plurality of edge servers and the scheduling processor are arranged, the scheduling processor preprocesses the acquired monitoring data according to calculation power, then distributes the processed data to the corresponding edge servers to form corresponding data processing requests, the edge servers determine corresponding data resources and computing plug-ins after receiving the data processing requests, and the last edge server performs data computing on the data resources. According to the invention, the computing work part originally belonging to the cloud center is distributed to the edge server to be executed, the large-scale transmitted data is computed through the edge computing technology, and the efficiency of processing the data by the data center is effectively improved by utilizing idle computing resources.
Drawings
Fig. 1 is a schematic flow chart of a low-voltage line operation and maintenance management method based on edge calculation according to the present invention.
Detailed Description
The embodiment of the application provides a low-voltage line operation and maintenance management method and system based on edge computing, which are used for computing large-scale transmitted data through an edge computing technology, and effectively improving the data processing efficiency of a data center by using idle computing resources.
Example one
Referring to fig. 1, in the low-voltage line operation and maintenance management method based on edge calculation in the embodiment, there is data interaction between the scheduling processor and the edge server, so the embodiment uses the two interaction diagrams to describe in detail an embodiment of the low-voltage line operation and maintenance management method based on edge calculation in the embodiment of the present application as follows:
101. the scheduling processor acquires monitoring data;
the dispatching processor receives real-time monitoring data sent by a monitoring terminal, wherein the monitoring terminal mainly carries out real-time monitoring on the current value, the voltage value and the switch state of a line, carries out real-time statistics on the disconnection condition of a 10kV line switch under a transformer substation, judges according to the current real-time monitoring value and the switch state of the line and then has the functions of alarming or other modules. Therefore, the monitoring data here roughly includes a current value, a voltage value, and switching state data for the line.
102. The scheduling processor carries out preprocessing operation on the monitoring data;
in the process of collecting monitoring data by the monitoring terminal, due to the existence of various interference factors, the collected data deviates from the true numerical value, or some error, repetition or even missing data occurs, in this embodiment, the transmitted data is subjected to smooth noise reduction processing, and then normalization processing is performed on the noise-reduced data. The data preprocessing solves various problems of the defect data, so that the obtained processed data can better meet the requirements, and errors of the defect data on the calculation result are reduced.
103. The edge server sends the calculated force within the preset time;
in this embodiment, the scheduling processor is connected to a plurality of edge servers, and the computing power of each edge server for data resources is different, so that before the scheduling processor allocates the processed data to the edge servers, each edge server needs to feed back the computing power within a preset time to the scheduling processor, where the preset time refers to a target time for the monitoring terminal to monitor within a certain period of time, and if the scheduling processor does not allocate an edge processor according to the computing power, the computing load of some edge servers is too heavy or too light.
104. The scheduling processor distributes the preprocessed data according to the calculation power;
in this embodiment, after receiving the corresponding computation power within the target time of each edge server, the scheduling processor allocates the preprocessed data according to the computation power, that is, allocates the preprocessed data to the corresponding edge server to perform data computation.
105. The scheduling processor sends the distributed data processing request to the edge server;
after the electroplating processor distributes data, a corresponding data processing request is generated, the request is sent to a corresponding edge server, and meanwhile, a scheduling processor uploads data resources corresponding to the data processing request.
106. The edge server receives a distributed data processing request sent by the scheduling processor;
in this embodiment, the scheduling processor performs corresponding identification and data protocol on each group of data resources when allocating data corresponding to the edge server, so that the edge server can read the corresponding data resources according to the identification and data protocol when acquiring the corresponding data resources, and in addition, the edge server can store the data when processing real-time data.
107. The edge server determines data resources uploaded by the scheduling processor according to the data processing request;
in this embodiment, the monitoring data is easily modified, deleted, or forged maliciously in the transmission process, so the scheduling processor sends the data processing request to the edge server and simultaneously needs to upload the corresponding data resource, and the edge server determines the data resource uploaded by the scheduling processor according to the data processing request.
108. The edge server calculates data resources based on a preset calculation plug-in;
after determining the data resources, the edge servers load the data resources to a preset computing plug-in, and perform data processing on the loaded data resources by using the computing plug-in, wherein each edge server can perform computing synchronously and compute at different time, so that the computing load of the original cloud center can be shared simultaneously.
109. The edge server outputs the calculation result of the data resource and feeds the calculation result back to the data center
And the edge server exports a data calculation result and feeds the data calculation result back to the data center. The invention calculates the data transmitted in large scale by using the edge calculation technology, effectively utilizes the idle calculation resources, ensures the timeliness of data processing and is convenient for subsequent operation and maintenance.
Example two
For the description of the low-voltage line operation and maintenance management method based on edge calculation in the foregoing embodiment, another embodiment of the low-voltage line operation and maintenance management method based on edge calculation in the embodiment of the present application is described in detail as follows:
the step of performing, by the scheduling processor in this embodiment, a preprocessing operation on the monitoring data may include:
(1) Carrying out smooth noise reduction processing on the monitoring data, and calculating to obtain noise-reduced data, wherein the formula of the smooth noise reduction processing is as follows:
wherein, Y i Representing the data of the original data at the time i after noise reduction; d [ i ]]Raw data representing time i; d [ l ]]Raw data representing time l; max (D [ l ]]) Expressed as the maximum function value of the original data at time l; min (D [ l ]]) Expressed as the minimum function value of the original data at time l; i =1,2, \8230;, I denotes the maximum transmission time of the raw data uploaded to the scheduling processor.
(2) And carrying out normalization processing on the data subjected to noise reduction, and calculating to obtain normalized data, wherein a formula of the normalization processing is represented as:
wherein G is i Normalized data expressed as noise-reduced data at time i; y is i Representing the data of the original data at the moment i after noise reduction; log10 () is expressed as a base-10 logarithmic function, Y c For the denoised data set, max (Y) c ) The maximum data value in the denoised data set.
In this embodiment, the step of calculating, by the edge server, the data resource based on the preset computing plug-in includes:
the edge server loads the data resources to a preset data calculation frame;
the edge server calls compute data resources using compute plug-ins integrated in a data compute framework.
In this embodiment, the step of sending the computing power within the preset time to the scheduling processor by the edge server includes:
the method comprises the steps that an edge server acquires current operation frequency, specifically, the edge server acquires occupied computing power resource information of a data calculation frame aiming at the edge server, and the occupied computing power resource information is computing power resource information of the edge server occupied when the data calculation frame is operated; and the edge server predicts a newly added service object, an offline service object and a scene switching service object aiming at the edge server in the next target time period, and determines the expected demand calculation resource information of the edge server aiming at the edge server in the target time period according to the newly added service object, the offline service object and the scene switching service object.
Specifically, after the edge server acquires the current operating frequency, the edge server determines the target operating frequency of the edge server in the next target time period according to the maximum computational resource information, the occupied computational resource information and the expected demand computational resource information corresponding to the current operating frequency, and the maximum computational resource information corresponding to the target operating frequency meets the expected demand computational resource information and feeds back the expected demand computational resource information to the scheduling server. The distribution computing power of the invention can be adjusted according to the actual situation, and the influence on the service born by the edge server can be ensured.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (7)
1. A low-voltage line operation and maintenance management method based on edge calculation is characterized by comprising the following steps:
the scheduling processor acquires monitoring data;
the scheduling processor carries out preprocessing operation on the monitoring data;
the scheduling processor distributes the preprocessed data according to the calculation force, and the calculation force is fed back by the edge server;
and the scheduling processor sends the distributed data processing request to the edge server, so that the edge server determines the corresponding data resource and the corresponding computing plug-in according to the data processing request.
2. The method of claim 1, wherein the scheduling processor performs preprocessing operations on the monitoring data, comprising:
carrying out smooth noise reduction processing on the monitoring data, and calculating to obtain noise-reduced data;
and carrying out normalization processing on the denoised data, and calculating to obtain normalized data.
3. The method of claim 2, wherein the smoothing and noise reduction process is formulated as:
wherein Y is i Representing the data of the original data at the moment i after noise reduction; d [ i ]]Raw data representing time i; d [ l ]]Raw data representing time l; max (D [ l ]]) Expressed as the maximum function value of the original data at time l; min (D [ l ]]) Expressed as the minimum function value of the original data at time l; i =1,2, \ 8230;, I, I is expressed as the maximum transmission time of the raw data uploaded to the scheduling processor.
4. The method of claim 2, wherein the normalization process is formulated as:
wherein, G i Normalized data expressed as noise-reduced data at time i; y is i Representing origin at time iData after noise reduction; log10 () is expressed as a base-10 logarithmic function, Y c For the denoised data set, max (Y) c ) The maximum data value in the denoised data set.
5. A low-voltage line operation and maintenance management method based on edge calculation is characterized by comprising the following steps:
the edge server sends computing power within preset time to a scheduling processor, so that the scheduling processor distributes monitoring data according to the computing power;
the edge server receives the distributed data processing request sent by the scheduling processor;
the edge server determines the data resources uploaded by the scheduling processor according to the data processing request;
the edge server calculates the data resource based on a preset calculation plug-in;
and the edge server outputs the calculation result of the data resource and feeds the calculation result back to the data center.
6. The method of claim 5, wherein the edge server sends the computing power within a preset time to a scheduling processor, comprising:
the edge server acquires the current operating frequency;
and the edge server determines a target operation frequency according to the current operation frequency and then sends the maximum calculation resource information corresponding to the target operation frequency to a scheduling processor.
7. The method of claim 5, wherein the edge server computes the data resource based on a pre-defined computing plug-in, comprising:
the edge server loads the data resource to a preset data calculation frame;
and the edge server calls a computing plug-in integrated in the data computing framework to compute the data resource.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116566039A (en) * | 2023-03-31 | 2023-08-08 | 中国电力科学研究院有限公司 | Power transmission line monitoring system and method based on cloud edge end cooperative sensing |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116566039A (en) * | 2023-03-31 | 2023-08-08 | 中国电力科学研究院有限公司 | Power transmission line monitoring system and method based on cloud edge end cooperative sensing |
| CN116566039B (en) * | 2023-03-31 | 2024-03-01 | 中国电力科学研究院有限公司 | Power transmission line monitoring system and method based on cloud edge end cooperative sensing |
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