CN108414018A - A kind of power transformer environmental monitoring system based on big data - Google Patents
A kind of power transformer environmental monitoring system based on big data Download PDFInfo
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- CN108414018A CN108414018A CN201810275877.XA CN201810275877A CN108414018A CN 108414018 A CN108414018 A CN 108414018A CN 201810275877 A CN201810275877 A CN 201810275877A CN 108414018 A CN108414018 A CN 108414018A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The present invention provides a kind of power transformer environmental monitoring system based on big data, including multiple electricity transformer monitoring subsystems and big data processing center, each electricity transformer monitoring subsystem is all connected to big data processing center, and each electricity transformer monitoring subsystem is used to acquire the power transformer environmental sensory data of multiple electricity transformer monitoring nodes in an electricity transformer monitoring region；Big data processing center is used to carry out processing analysis to the power transformer environmental sensory data of acquisition, realizes the real-time monitoring to power transformer environment.The present invention is based on big data treatment technologies, and the data that numerous sensor nodes acquire summarize and united analysis is handled, data analysis utilization can be carried out, improve the monitoring capability to power transformer.
Description
Technical field
The present invention relates to power transformer environmental monitoring technology fields, and in particular to a kind of power transformer based on big data
Device environmental monitoring system.
Background technology
In the related technology, power transformer there is also some problems in security reliability side.Mainly since electric power becomes
Outdoors, transformer is easy to be influenced by external environment for substation's generally operation where depressor.If the temperature of transformer room
More than certain limit, then can influence to contribute.In order to protect influence of the transformer from external environment, need to carry out transformer room
Real time environment monitors.Existing monitoring device arranges monitoring device by the way of wired, however transmission range is limited, and wiring is numerous
Trivial, scalability is insufficient, and transmission mode is single, and practical function is bad.
Invention content
In view of the above-mentioned problems, the present invention provides a kind of power transformer environmental monitoring system based on big data.
The purpose of the present invention is realized using following technical scheme：
Provide a kind of power transformer environmental monitoring system based on big data, including multiple electricity transformer monitorings
System and big data processing center, each electricity transformer monitoring subsystem are all connected to big data processing center, each electric power
Transformer monitoring subsystem is used to acquire the electricity of multiple electricity transformer monitoring nodes in an electricity transformer monitoring region
Power transformer environmental sensory data；Big data processing center is for handling the power transformer environmental sensory data of acquisition
The real-time monitoring to power transformer environment is realized in analysis.
Preferably, big data processing center includes database, set of metadata of similar data analysis module, wherein electricity transformer monitoring
The power transformer environmental sensory data of acquisition is sent to database and stored by system, and a large amount of electric power changes are stored with to establish
The data volume of depressor environmental sensory data；Set of metadata of similar data analysis module is used for storing power transformer environment in the database
Sensing data carries out similar connection, finds out two power transformer environmental sensory data conducts that similarity value is more than given threshold
Similar power transformer environmental sensory data pair, and by the similar power transformer environmental sensory data found out to being sent to data
It is stored in library.
Preferably, electricity transformer monitoring subsystem includes the sensor section being arranged on electricity transformer monitoring node
Point.
Preferably, the sensor node includes wireless chip and environmental sensor, wireless chip and environmental sensor
Signal connects, and humiture integrated sensor and smoke sensor device are provided in the environmental sensor；The wireless chip is also
It has been connected separately clock circuit, reset circuit, sound light alarming circuit, dehumidifier driving circuit and heater circuit.
Beneficial effects of the present invention are：The data that numerous sensor nodes acquire are converged based on big data treatment technology
The processing of total and united analysis, can carry out data analysis utilization, improve the monitoring capability to power transformer environment, and intelligence is convenient,
Save manpower；The indoor environment of transformer is monitored in real time, has ensured the reliability service of transformer, power transformer environment
Sensing data is wirelessly transmitted, and reduces the trouble of wiring.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic block diagram of the power transformer environmental monitoring system of an illustrative embodiment of the invention；
Fig. 2 is the structural schematic block diagram of the big data processing center of an illustrative embodiment of the invention.
Reference numeral：
Electricity transformer monitoring subsystem 1, big data processing center 2, database 10, set of metadata of similar data analysis module 20.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of power transformer environmental monitoring system based on big data provided in this embodiment, including it is multiple
Electricity transformer monitoring subsystem 1 and big data processing center 2, each electricity transformer monitoring subsystem 1 are all connected to big number
According to processing center 2, each electricity transformer monitoring subsystem 1 is used to acquire multiple electricity in an electricity transformer monitoring region
The power transformer environmental sensory data of power transformer monitoring node；Big data processing center 2 is used for the power transformer to acquisition
Device environmental sensory data carries out processing analysis, realizes the real-time monitoring to power transformer environment.
As shown in Fig. 2, big data processing center 2 includes database 10, set of metadata of similar data analysis module 20, wherein power transformer
The power transformer environmental sensory data of acquisition is sent to database 10 and stored by device monitoring subsystem 1, to establish storage
There is the data volume of a large amount of power transformer environmental sensory datas；Set of metadata of similar data analysis module 20 is used for being stored in database 10
Power transformer environmental sensory data carry out similar connection, find out two power transformers that similarity value is more than given threshold
Environmental sensory data is as similar power transformer environmental sensory data pair, and the similar power transformer environmentally sensitive that will be found out
Data are stored to being sent in database 10.
In one embodiment, electricity transformer monitoring subsystem 1 includes being arranged on electricity transformer monitoring node
Sensor node.
In a kind of optional mode, the sensor node includes wireless chip and environmental sensor, wireless chip
It is connect with environmental sensor signals, humiture integrated sensor and smoke sensor device is provided in the environmental sensor；It is described
Wireless chip be also connected separately clock circuit, reset circuit, sound light alarming circuit, dehumidifier driving circuit and add
Hot device circuit.
The above embodiment of the present invention is summarized the data that numerous sensor nodes acquire based on big data treatment technology
And united analysis is handled, and can carry out data analysis utilization, improves the monitoring capability to power transformer environment, intelligence is convenient, section
Human-saving；The indoor environment of transformer is monitored in real time, has ensured that the reliability service of transformer, power transformer environment pass
Sense data are wirelessly transmitted, and reduce the trouble of wiring.
In one embodiment, the described pair of power transformer environmental sensory data being stored in database 10 carries out similar
Connection, specifically includes：
(1) one section of power transformer environmental sensory data in the database 10 is extracted at random, and according to power transformer
The acquisition time sequential build time series of device environmental sensory data；
(2) multiple reference points are selected from time series, the reference point based on selection becomes for the electric power in time series
Depressor environmental sensory data establishes the data directory structure based on Distance-Tree, utilizes data directory structural generation MapReduce's
Data partition scheme；
(3) using the data partition scheme information of reference mode set, data directory structure and MapReduce as the overall situation
Variable accurately calculates the power transformer environmental sensory data there are similitude using MapReduce tasks, when obtaining
Between all power transformer environmental sensory datas pair for meeting similarity value and being more than given threshold in sequence.
In one embodiment, multiple reference points are selected from time series, are specifically included：
(1) a power transformer environmental sensory data is randomly choosed from time series, and is found in time series
The power transformer environmental sensory data farthest apart from the power transformer environmental sensory data, is set asAnd it willIt is set as
First reference point；
(2) find out fromApart from farthest power transformer environmental sensory data, it is set asAnd it willIt is set as second
Reference point；
(3) using the reference point having been selected, for each power transformer environmentally sensitive number for being not chosen as reference point
According to xi, range difference weights are calculated according to the following formula, and select the power transformer environmental sensory data of minimum range difference weights
As next reference point：
In formula,Indicate the power transformer environmental sensory data x for being not chosen as reference pointiRange difference weights,Indicate reference pointThe distance between,Indicate power transformer environmental sensory data xiWith selected
The reference point selectedThe distance between, Ω indicates the reference point set having been selected；
(4) (3) are repeated until selecting the reference point of setting quantity, is included into reference point sequence sets.
The selection of reference point influence to power transformer environmental sensory data carry out data similarity analysis performance, one
It is a good time series to be subjected to more appropriate segmentation with reference to point set.The present embodiment sets the selection machine of reference point
System enables to the outlier of time series that there is the probability of bigger to become reference point by the selection mechanism, and to choose
The distance between reference point farther out so that the reference point set chosen can preferably divide time series
It cuts, is conducive to optimize the performance for carrying out power transformer environmental sensory data data similarity analysis.
In one embodiment, it is established based on Distance-Tree for the power transformer environmental sensory data in time series
Data directory structure, specifically includes：
(1) Distance-Tree is initialized, the root node of tree is built, by first reference point in reference point sequence setsAs this
The corresponding reference point of root node, and the affiliated level that root node is arranged is 0, position pos=0, number m=0；
(2) it is divided using first reference point root node, generates the multiple leaf knots for the child node for belonging to root node
Point, wherein each leaf node includes affiliated level, its internal power transformer environmental sensory data quantity and location information
Three attributes, wherein location information show distance of the leaf node apart from the corresponding reference point of its father node and setting apart from threshold
The multiple proportion of value ε；Power transformer environmental sensory data insertion is carried out, Distance-Tree is built by way of being inserted into one by one, is inserted
The process for entering power transformer environmental sensory data is exactly that each power transformer environmental sensory data is distributed to corresponding leaf
The process of node, wherein the power transformer environmental sensory data satisfaction being distributed to inside leaf node α is corresponding with its father node
The distance of reference point is in section [(posα-1)×ε,posα× ε) in, wherein posαFor the location information of leaf node α, and leaf node
The power transformer environmental sensory data amount of α internal storages is less than the maximum capacity of setting；
Wherein, if the power transformer environmental sensory data collection to be distributed is { x1,x2,..,xn, then the interval number being arranged
Amount is：
In formula,For power transformer environmental sensory data xaReference point corresponding with father nodeDistance；
(3) if the power transformer environmental sensory data amount of leaf node storage reaches the maximum capacity of setting, from reference point
The new reference point leaf node is chosen in sequence sets to be divided, and corresponding child node is generated, it will be extra in the leaf node
Power transformer environmental sensory data is distributed in its child node, repeats the process, until all leaf node or child node
Including power transformer environmental sensory data quantity be both less than set maximum capacity.
Similarity join algorithm or violence algorithm based on disk is used to pass power transformer environment in the related technology
Feel data and carry out similar connection, the similarity join algorithm based on disk lacks validity in terms of Memory linkage calculating and can expand
Malleability.Violence algorithm, that is, concentrate arbitrary two datas record to be compared data, calculating cost can be with data amount check
Exponential growth, it is infeasible for real data that the key of problem, which is violence algorithm,.In past twenties years correlations
In research, experiments have shown that it is a feasible method to use some Pruning strategies during similarity join.
The present embodiment carries out power transformer environmental sensory data using the data directory structure based on Distance-Tree similar
Connection can reduce power transformer environmental sensory data with the unnecessary power transformer environmental sensory data of beta pruning to comparing
The redundancy of similar calculating is spent, and the data for saving system calculate cost.Area is wherein set according to the maximum distance with reference point
Between quantity calculation formula, be conducive to build rational Distance-Tree, to lay a good foundation for subsequent data partition.
In one embodiment, the data partition scheme using data directory structural generation MapReduce, specifically
Including：
(1) according to one figure G (U, V) of data directory Structure Creating based on Distance-Tree, the set of vertex U is Distance-Tree
All leaf nodes, the set of side V is cannot be by the node pair of beta pruning principle beta pruning, and there are one be connected with its own on each vertex
The weight w (u) on side, setting vertex u is the power transformer environmental sensory data amount of corresponding leaf node, the weight w (v) etc. of side v
The product of the weight on two vertex thereon；
(2) G (U, V) is divided into two subgraph G (U, V)1、G(U,V)2, meet following equilibrium degree condition
In formula, θ is the equilibrium degree threshold value of setting,
(3) by subgraph G (U, V)1、G(U,V)2It is added in a Priority Queues, the subgraph in Priority Queues is according to cost
Carry out descending arrangement；
Wherein subgraph G (U, V)iThe calculation formula of cost be：
(3) in the iteration of next round, the subgraph for coming foremost is selected from Priority Queues, is randomly divided into two
The identical subgraph of number of vertices, and the subgraph add value Priority Queues being divided into repeat the process until being come in Priority Queues
When the cost of the subgraph of foremost meets the cost threshold value less than setting, export final partition scheme, as at
The data partition scheme of MapReduce.
There will be the power transformer environmental sensory datas of similitude to be distributed in as much as possible based on figure subregion for the present embodiment
The same subregion, the power transformer environmental sensory data that can be reduced as far as by stages exchanges and copy amount, wherein
Setting will meet equilibrium degree condition and cost condition when carrying out subregion, be conducive in Reduce tasks, ensure that load is equal
Power transformer environmental sensory data transmission cost and redundancy are minimized in the case of weighing apparatus.
Wherein, the beta pruning principle is：
To two leaf node α for being scheduled on L1 layers and L2 layers1And α2, it is assumed that L1 >=L2；From root node to α1And α2The leaf of process
The position sequence of node is respectively { η1, η2..., ηL1And { ζ1, ζ2..., ζL2}.If for arbitrary t≤L2, there is ηt+
2<ζtOr ηt>ζt+ 2, then α1In any power transformer environmental sensory data and α2In any power transformer environment pass
Feel the distance between data and is more than ε.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. a kind of power transformer environmental monitoring system based on big data, characterized in that including multiple electricity transformer monitorings
Subsystem and big data processing center, each electricity transformer monitoring subsystem are all connected to big data processing center, Mei Ge electricity
Power transformer monitoring subsystem is used to acquire multiple electricity transformer monitoring nodes in an electricity transformer monitoring region
Power transformer environmental sensory data；Big data processing center is used for the power transformer environmental sensory data of acquisition
Reason analysis, realizes the real-time monitoring to power transformer environment；Big data processing center includes database, set of metadata of similar data analysis mould
The power transformer environmental sensory data of acquisition is sent to database and deposited by block, wherein electricity transformer monitoring subsystem
Storage, to establish the data volume for being stored with a large amount of power transformer environmental sensory datas；Set of metadata of similar data analysis module is used for storage
Power transformer environmental sensory data in the database carries out similar connection, finds out two that similarity value is more than given threshold
Power transformer environmental sensory data is as similar power transformer environmental sensory data pair, and the similar power transformer that will be found out
Device environmental sensory data is stored to being sent in database.
2. a kind of power transformer environmental monitoring system based on big data according to claim 1, characterized in that electric power
Transformer monitoring subsystem includes the sensor node being arranged on electricity transformer monitoring node.
3. a kind of power transformer environmental monitoring system based on big data according to claim 2, characterized in that described
Sensor node include wireless chip and environmental sensor, wireless chip is connect with environmental sensor signals, and the environment passes
Humiture integrated sensor and smoke sensor device are provided in sensor；The wireless chip has also been connected separately clock electricity
Road, reset circuit, sound light alarming circuit, dehumidifier driving circuit and heater circuit.
4. special according to a kind of power transformer environmental monitoring system based on big data of claim 1-3 any one of them
Sign is that the power transformer environmental sensory data of described pair of storage in the database carries out similar connection, specifically includes：
(1) one section of power transformer environmental sensory data in the database is extracted at random, and according to power transformer environment
The acquisition time sequential build time series of sensing data；
(2) multiple reference points are selected from time series, the reference point based on selection, for the power transformer in time series
Environmental sensory data establishes the data directory structure based on Distance-Tree, utilizes the data of data directory structural generation MapReduce
Partition scheme；
(3) become the data partition scheme information of reference mode set, data directory structure and MapReduce as the overall situation
Amount, accurately calculates the power transformer environmental sensory data there are similitude using MapReduce tasks, obtains the time
All power transformer environmental sensory datas pair for meeting similarity value and being more than given threshold in sequence.
5. a kind of power transformer environmental monitoring system based on big data according to claim 4, characterized in that from when
Between select multiple reference points in sequence, specifically include：
(1) a power transformer environmental sensory data is randomly choosed from time series, and distance is found in time series
The farthest power transformer environmental sensory data of the power transformer environmental sensory data, is set asAnd it willIt is set as first
A reference point；
(2) find out fromApart from farthest power transformer environmental sensory data, it is set asAnd it willIt is set as second reference
Point；
(3) using the reference point having been selected, for each power transformer environmental sensory data x for being not chosen as reference pointi,
Range difference weights are calculated according to the following formula, and select the power transformer environmental sensory data of minimum range difference weights as under
One reference point：
In formula,Indicate the power transformer environmental sensory data x for being not chosen as reference pointiRange difference weights,
Indicate reference pointThe distance between,Indicate power transformer environmental sensory data xiWith the ginseng having been selected
Examination pointThe distance between, Ω indicates the reference point set having been selected；
(4) (3) are repeated until selecting the reference point of setting quantity, is included into reference point sequence sets.
6. a kind of power transformer environmental monitoring system based on big data according to claim 5, characterized in that be directed to
Power transformer environmental sensory data in time series establishes the data directory structure based on Distance-Tree, specifically includes：
(1) Distance-Tree is initialized, the root node of tree is built, by first reference point in reference point sequence setsAs the root knot
The corresponding reference point of point, and the affiliated level that root node is arranged is 0, position pos=0, number m=0；
(2) it is divided using first reference point root node, generates the multiple leaf nodes for the child node for belonging to root node,
In each leaf node include three affiliated level, its internal power transformer environmental sensory data quantity and location information categories
Property, wherein location information shows the distance threshold ε's of distance and setting of the leaf node apart from the corresponding reference point of its father node
Multiple proportion；Power transformer environmental sensory data insertion is carried out, Distance-Tree is built by way of being inserted into one by one, is inserted into electric power
The process of transformer environmental sensory data is exactly that each power transformer environmental sensory data is distributed to corresponding leaf node
Process, wherein be distributed to the power transformer environmental sensory data inside leaf node α and meet reference point corresponding with its father node
Distance in section [(posα-1)×ε,posα× ε) in, wherein posαFor the location information of leaf node α, and inside leaf node α
The power transformer environmental sensory data amount of storage is less than the maximum capacity of setting；
(3) if the power transformer environmental sensory data amount of leaf node storage reaches the maximum capacity of setting, from reference to point sequence
It concentrates and chooses new reference point leaf node and divided, corresponding child node is generated, by the excrescent electric power in the leaf node
Transformer environmental sensory data is distributed in its child node, repeats the process, until all leaf nodes or child node include
Power transformer environmental sensory data quantity be both less than set maximum capacity.
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Application publication date: 20180817 |