CN104050246B - The preprocess method of power transmission and transformation equipment state Monitoring Data and system - Google Patents
The preprocess method of power transmission and transformation equipment state Monitoring Data and system Download PDFInfo
- Publication number
- CN104050246B CN104050246B CN201410245050.6A CN201410245050A CN104050246B CN 104050246 B CN104050246 B CN 104050246B CN 201410245050 A CN201410245050 A CN 201410245050A CN 104050246 B CN104050246 B CN 104050246B
- Authority
- CN
- China
- Prior art keywords
- data
- measurement period
- analog data
- minima
- maximum
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2228—Indexing structures
- G06F16/2272—Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
Abstract
The present invention provides preprocess method and the system of a kind of power transmission and transformation equipment state Monitoring Data, and its method includes step: obtain historic state Monitoring Data; Historic state Monitoring Data is divided into history switching value data, historical simulation amount data; Store after history switching value data is compressed; Choose the object statistics cycle; Statistics historical simulation amount data corresponding to object statistics cycle obtain the time of occurrence of the maximum of analog data of its correspondence, minima, the time of occurrence of maximum, minima; These data are stored with the form of object statistics cycle characteristic of correspondence data; Judge that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by the first threshold value; Judge that whether described minima is less than the second default threshold value, if it is not, then update described minima by the second threshold value; Set up the history switching value data of storage and the index of storage characteristic, it is possible to improve the efficiency analyzing Condition Monitoring Data.
Description
Technical field
The present invention relates to power transmission and transforming equipment monitoring field, particularly relate to preprocess method and the system of a kind of power transmission and transformation equipment state Monitoring Data.
Background technology
Power transmission and transforming equipment is the main element in power system. The maintenance mode of power transmission and transforming equipment overhauls from trouble shooting or fixed cycle and develops into repair based on condition of component, greatly reduces the cost of overhaul, it is ensured that the reliability of system. The repair based on condition of component of power transmission and transforming equipment can produce large number quipments Condition Monitoring Data. When these equipment condition monitoring data are deposited in the data acquisition historical data base with supervisor control, just become mass data. When power transmission and transforming equipment is carried out state estimation, it is necessary to inquiry mass data from the historical data base of data acquisition and supervisor control, its inquiry preprocessing process is the important step in the process of equipment state assessment.
At present, in intelligent substation, monitoring of equipment device is more, and the device status data of its collection is all independent storage, analysis; Although or fully enter in the historical data base of data acquisition and supervisor control, owing to data volume is big especially, being analyzed after being only get these mass datas from historical data base when Comprehensive analytical equipment Condition Monitoring Data, analysis efficiency is non-normally low.
Summary of the invention
It is an object of the invention to provide the preprocess method of a kind of power transmission and transformation equipment state Monitoring Data and system, it is possible to improve the efficiency analyzing Condition Monitoring Data.
The purpose of the present invention is achieved through the following technical solutions:
The preprocess method of a kind of power transmission and transformation equipment state Monitoring Data, comprises the steps:
Obtain data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Described historic state Monitoring Data is divided into history switching value data, historical simulation amount data by the data type according to described historic state Monitoring Data;
Described history switching value data is compressed, the history switching value data after storage compression;
Choose the object statistics cycle;
Statistics historical simulation amount data corresponding to object statistics cycle obtain the time of occurrence of the maximum of analog data corresponding to object statistics cycle, minima, the time of occurrence of described maximum, described minima;
By described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of object statistics cycle characteristic of correspondence data;
Judge that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
Judge that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
Calculating the hashed value of the characteristic of the measurement period of the history switching value data of storage, storage respectively, described calculated hashed value is stored as index, wherein, described index is for inquiring about Condition Monitoring Data to be analyzed.
A kind of pretreatment system of power transmission and transformation equipment state Monitoring Data, including:
Acquisition module, for obtaining data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Sort module, is used for the data type according to described historic state Monitoring Data and described historic state Monitoring Data is divided into history switching value data, historical simulation amount data;
Compression module, the history switching value data for described history switching value data is compressed, after storage compression;
Choose module, be used for choosing the object statistics cycle;
Statistical module, obtains the time of occurrence of the maximum of analog data corresponding to object statistics cycle, minima, the time of occurrence of described maximum, described minima for adding up historical simulation amount data corresponding to object statistics cycle,
Memory module, for storing the history switching value data after compression, be additionally operable to by described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of object statistics cycle characteristic of correspondence data;
Fisrt feature heavily marks module, for judging that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
Second feature heavily marks module, for judging that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
Module set up in index, for calculating the hashed value of the characteristic of the measurement period of the history switching value data of storage, storage respectively, described calculated hashed value is stored as index, and wherein, described index is for inquiring about Condition Monitoring Data to be analyzed.
Scheme according to the invention described above, it is after obtaining historic state Monitoring Data, undertaken being divided into history switching value data by this historic state Monitoring Data, historical simulation amount data, described history switching value data is compressed, and store the history switching value data after compression, and choosing object statistics week after date, by adding up the maximum obtaining analog data corresponding to this object statistics cycle, minima, the time of occurrence of maximum, the time of occurrence of minima, again by this maximum, minima, the time of occurrence of maximum, the time of occurrence of minima stores with the form of object statistics cycle characteristic of correspondence data, and by by whether maximum compares more than the first default threshold value, the mode that minima and the second threshold value preset compare is re-labeled object statistics cycle characteristic of correspondence data, finally calculate the history switching value data of storage, the hashed value of the characteristic of the measurement period of storage, described calculated hashed value is stored as index, wherein, described index is for inquiring about Condition Monitoring Data to be analyzed, owing to historic state Monitoring Data is classified, compression, statistics, re-label feature, index etc. and to process, therefore, when carrying out Condition Monitoring Data is analyzed, can based on the feature of the data of this index quick search to required analysis and required analytical data, improve analysis efficiency.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the preprocess method embodiment of the power transmission and transformation equipment state Monitoring Data of the present invention;
Fig. 2 is the schematic flow sheet of another embodiment of preprocess method of the power transmission and transformation equipment state Monitoring Data of the present invention;
Fig. 3 is the schematic flow sheet of preprocess method the 3rd embodiment of the power transmission and transformation equipment state Monitoring Data of the present invention;
Fig. 4 is the structural representation of the pretreatment system embodiment of the power transmission and transformation equipment state Monitoring Data of the present invention.
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail. Should be appreciated that detailed description of the invention described herein is only in order to explain the present invention, does not limit protection scope of the present invention.
In the following description, the embodiment first against the preprocess method of the power transmission and transformation equipment state Monitoring Data of the present invention illustrates, more each embodiment of the pretreatment system of the power transmission and transformation equipment state Monitoring Data of the present invention is illustrated.
Shown in Figure 1, for the schematic flow sheet of preprocess method embodiment of the power transmission and transformation equipment state Monitoring Data of the present invention. As it is shown in figure 1, the preprocess method of the power transmission and transformation equipment state Monitoring Data in the present embodiment comprises the steps:
Step S101: obtain data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Historic state Monitoring Data can obtain from the data base gathered with supervisor control, and the data volume of this historic state Monitoring Data is big, time span is long;
Step S102: described historic state Monitoring Data is divided into history switching value data, historical simulation amount data according to the data type of described historic state Monitoring Data;
Switching value data is value is the integer of 0 and 1, and analog data refers to real number, for floating point type;
Step S103: described history switching value data is compressed, the history switching value data after storage compression;
Wherein in an embodiment, the process that implements of step S103 may is that the described history switching value data of acquisition occurs multiple identical data sequentially in time continuously, determine first data in multiple identical datas of described continuous appearance, and data identical with described first data after described first data are counted to get data amount check; Described first data and described data amount check are stored as the history switching value data after compression, such as, if occurring multiple 1 continuously sequentially in time, then only store first 1, and 1 after this first 1 is counted, until occur that 0 just stops counting, the scheme in employing the present embodiment, when there is continuous print substantial amounts of 0 or 1 for switching value data, compression degree is significantly high; But the mode of compression switch amount data is not limited to the mode in the present embodiment, for instance, it is also possible to adopt LZW (LempelZivWelch) compression algorithm or Rice compression algorithm, do not repeat them here;
Step S104: choose the object statistics cycle;
Measurement period can be set according to actual needs, it is also possible to includes multiple different measurement period as required, for instance, measurement period includes year, season, the moon, week, day, chooses a measurement period every time and performs subsequent step as target period;
Step S105: add up historical simulation amount data corresponding to described object statistics cycle and obtain the time of occurrence of the maximum of analog data corresponding to this object statistics cycle, minima, the time of occurrence of described maximum, described minima;
Historical simulation amount data corresponding to described object statistics cycle can also added up obtaining the meansigma methods of historical simulation amount data corresponding to this object statistics cycle, variance as required;
Historical simulation amount data can include different analog quantitys, for instance includes voltage and active power, then need respectively statistics voltage and the maximum of active power, minima, the time of occurrence of maximum, minima time of occurrence;
The object statistics cycle correspond to a timing statistics scope, the historical simulation amount data within the scope of this timing statistics can be selected from historical simulation amount data, then determine the time of occurrence of the maximum of data of selected taking-up, minima, the time of occurrence of described maximum, described minima;
Step S106: by described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of described object statistics cycle characteristic of correspondence data;
The maximum obtained is added up in step S105, the time of occurrence of minima and described maximum and the time of occurrence of described minima can characterize the feature of the analog data in the object statistics cycle, therefore these data are stored with the form of object statistics cycle characteristic of correspondence data, if by adding up the meansigma methods that have also been obtained analog data corresponding to object statistics cycle, variance, can also by the meansigma methods of the analog data corresponding the object statistics cycle, variance is together with maximum, the time of occurrence of minima and maximum and the time of occurrence of minima store with the form of object statistics cycle characteristic of correspondence data,
Step S107: judge that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
In power transmission and transformation equipment state overhauling process, maintainer often it is of concern that out-of-limit analog data, i.e. the not analog data in range ability, for this, the characteristic stored is re-labeled feature by this step S107;
If the maximum of analog data is not more than the first default threshold value in the object statistics cycle, then update corresponding maximum by described first threshold value, if having carried out the renewal of maximum, then the numerical value of the maximum that the object statistics cycle is corresponding has reformed into the numerical value of the first threshold value;
Step S108: judge that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
This step is that the characteristic stored is re-labeled feature also for realizing;
If the minima of analog data is not less than the second default threshold value in the object statistics cycle, then update corresponding minima by described second threshold value, if having carried out the renewal of minima, then the numerical value of the minima that current goal measurement period is corresponding has reformed into the numerical value of the first threshold value;
Repeat the above steps S104��step S109 can be passed through and realize the process (add up, store, re-label feature etc.) of the historic state Monitoring Data to each measurement period;
Step S109: the calculating hashed value to the history switching value data of storage, the measurement period characteristic of correspondence data of storage respectively, is stored as index by described calculated hashed value, and wherein, described index is for inquiring about Condition Monitoring Data to be analyzed;
A switching value hashed value can be generated, in the characteristic often storing a measurement period after storing history switching value data, for instance, the characteristic in aforesaid object statistics cycle, a new cycle hashed value can be generated;
Year, season, the moon, week, day is included for measurement period, often obtain the characteristic of a day, then corresponding generation one day hashed value, often obtain the characteristic of a week, then one all hashed value of corresponding generation, often obtains the characteristic in January, then one month hashed value of corresponding generation, often obtain the characteristic of a year, then corresponding generation 1 year hashed value, and each hashed value is stored as index;
One preferably in embodiment wherein: the mode of the MD5 calculating hashed value to the history switching value data of storage, the measurement period characteristic of correspondence data of storage can be adopted.
Accordingly, according to scheme in the present embodiment, it is after obtaining historic state Monitoring Data, undertaken being divided into history switching value data by this historic state Monitoring Data, historical simulation amount data, described history switching value data is compressed, and store the history switching value data after compression, and choosing object statistics week after date, by adding up the maximum obtaining analog data corresponding to this object statistics cycle, minima, the time of occurrence of maximum, the time of occurrence of minima, again by this maximum, minima, the time of occurrence of maximum, the time of occurrence of minima stores with the form of object statistics cycle characteristic of correspondence data, and by by whether maximum compares more than the first default threshold value, the mode that minima and the second threshold value preset compare is re-labeled object statistics cycle characteristic of correspondence data, finally calculate the history switching value data of storage, the hashed value of the characteristic of the measurement period of storage, described calculated hashed value is stored as index, wherein, described index is for inquiring about Condition Monitoring Data to be analyzed, owing to historic state Monitoring Data is classified, compression, statistics, re-label feature, index etc. and to process, therefore, when carrying out Condition Monitoring Data is analyzed, have only to a given time query context, just can quickly position the data of required analysis and the feature of required analytical data, improve analysis efficiency.
It should be noted that said process can not perform according to above-mentioned sequencing, for instance, the processing procedure of history switching value data and the processing procedure of historical simulation amount data can carry out simultaneously;
Embodiments described above illustrate the preprocessing process to historic state Monitoring Data, when there being delta state Monitoring Data to produce, delta state Monitoring Data and above-mentioned historic state Monitoring Data can be updated to historic state Monitoring Data, pretreatment is carried out according to the mode in above-described embodiment, only delta state Monitoring Data can be carried out pretreatment, owing to only delta state Monitoring Data being carried out pretreatment, data processing amount is little, efficiency is high, and the process that delta state Monitoring Data carries out pretreatment below is illustrated.
Wherein in an embodiment, as in figure 2 it is shown, on the basis of above-described embodiment, the analysis method of the power transmission and transformation equipment state Monitoring Data of the present embodiment, it is also possible to include step:
Step S201: obtain increment analog data;
Increment analog data is the analog data produced after the pretreatment in having carried out example performed as described above, can make a distinction according to the time, such as complete in example performed as described above the pretreatment of analog data before sometime, then the analog data after this time is increment analog data;
Can first obtain delta state Monitoring Data, increment analog data is obtained again from the delta state Monitoring Data obtained, can also directly obtain increment analog data, owing to analog data is stored in analog data table, it is possible to directly obtain from analog data table;
Step S202: if any one measurement period of measurement period corresponding to the described increment analog data measurement period corresponding with the characteristic stored is identical, then the maximum that described increment analog data is corresponding with the same measurement period stored is compared, if the maximum that described increment analog data is corresponding more than the same measurement period stored, then enter step S203, if described increment analog data is not more than the maximum that the same measurement period stored is corresponding, then enter step S204;
Any one measurement period that measurement period that even described increment analog data is corresponding is corresponding with the characteristic stored is identical, the maximum then carrying out increment analog data corresponding with this measurement period compares, such as, store the maximum of this measurement period in this year, then for the incremental data in this year, then the maximum with this year is needed to compare;
Step S203: update, with described increment analog data, the maximum that the same measurement period stored is corresponding, and update the time of occurrence of maximum corresponding to the same measurement period stored with the time of occurrence of described increment analog data;
Step S204: the minima that described increment analog data is corresponding with the same measurement period stored is compared;
Step S205: if the minima that described increment analog data is corresponding less than the same measurement period stored, then update, with described increment analog data, the minima that the same measurement period stored is corresponding, and update the time of occurrence of minima corresponding to the same measurement period stored with the time of occurrence of described increment analog data.
Wherein in an embodiment, as it is shown on figure 3, on the basis of above-described embodiment, the analysis method of the power transmission and transformation equipment state Monitoring Data of the present embodiment, it is also possible to include step:
Step 301: if measurement period corresponding to described increment analog data is a new measurement period, then described increment analog data and described first threshold value are compared;
When including multiple measurement period, measurement period corresponding to described increment analog data can while being measurement period corresponding to the characteristic stored, also it is a new measurement period, such as, the increment analog data that this week produces, it is possible to time by Zhou Zuowei measurement period, be a new measurement period, but to, time monthly as measurement period, having the measurement period that the characteristic that can be stored is corresponding;
Step 302: if described increment analog data is more than described first threshold value, then using the described increment analog data maximum as measurement period corresponding to described increment analog data, if described increment analog data is not more than described first threshold value, then using described first threshold value maximum as measurement period corresponding to described increment analog data;
Step 303: described increment analog data and described second threshold value are compared;
Step 304: if described increment analog data is less than described second threshold value, then using the described increment analog data minima as measurement period corresponding to described increment analog data, if described increment analog data is not less than described second threshold value, then using described second threshold value minima as measurement period corresponding to described increment analog data;
Step 305: the minima of measurement period corresponding to the time of occurrence of the maximum of measurement period corresponding for described increment analog data and this maximum, described increment analog data and the time of occurrence of this minima are stored with the characteristic of correspondence data of measurement period corresponding to described increment analog data;
Perform this step, owing to storing again the characteristic of a measurement period, then can go back to step S109, the characteristic of the measurement period of this new storage has been calculated eigenvalue, and correspondingly this eigenvalue is stored as index.
It should be noted that, above-mentioned two embodiment, only elaborate the process to increment analog data, but can not illustrate need not increment switch amount data be processed, process if desired for many increment switches amount data, according in previous embodiment, history switching value data can be carried out processing mode process, also include compression, storage, generate the processes such as hashed value, not set forth at this.
The preprocess method of the power transmission and transformation equipment state Monitoring Data according to the invention described above, the present invention also provides for the pretreatment system of a kind of power transmission and transformation equipment state Monitoring Data, and the embodiment with regard to the pretreatment system of the power transmission and transformation equipment state Monitoring Data of the present invention is described in detail below. Fig. 4 has illustrated the structural representation of the embodiment of the pretreatment system of the power transmission and transformation equipment state Monitoring Data of the present invention. For the ease of illustrating, merely illustrate part related to the present invention in the diagram.
As shown in Figure 4, the pretreatment system of the power transmission and transformation equipment state Monitoring Data in the present embodiment, including:
Acquisition module 401, for obtaining data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Sort module 402, is used for the data type according to described historic state Monitoring Data and described historic state Monitoring Data is divided into history switching value data, historical simulation amount data;
Compression module 403, the history switching value data for described history switching value data is compressed, after storage compression;
Choose module 404, be used for choosing the object statistics cycle;
Statistical module 405, obtains the time of occurrence of the maximum of analog data corresponding to object statistics cycle, minima, the time of occurrence of described maximum, described minima for adding up historical simulation amount data corresponding to object statistics cycle,
Memory module 406, for storing the history switching value data after compression, be additionally operable to by described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of object statistics cycle characteristic of correspondence data;
Fisrt feature heavily marks module 407, for judging that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
Second feature heavily marks module 408, for judging that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
Module 409 set up in index, for calculating the hashed value of the characteristic of the measurement period of the history switching value data of storage, storage respectively, described calculated hashed value is stored as index, and wherein, described index is for inquiring about Condition Monitoring Data to be analyzed.
Wherein in an embodiment, compression module 403 can obtain described history switching value data and occur multiple identical data sequentially in time continuously, determine first data in multiple identical datas of described continuous appearance, and data identical with described first data after described first data are counted to get data amount check; Described first data and described data amount check can be stored by memory module 406 as the history switching value data after compression.
Wherein in an embodiment, acquisition module 401 can be also used for obtaining increment analog data;
Statistical module 405 can be also used for any one measurement period in the measurement period that the measurement period that described increment analog data is corresponding is corresponding with the characteristic stored identical time, the maximum that described increment analog data is corresponding with the same measurement period stored is compared, if the maximum that described increment analog data is corresponding more than the same measurement period stored, then update, with described increment analog data, the maximum that the same measurement period stored is corresponding, and the time of occurrence of maximum corresponding to the same measurement period stored is updated with the time of occurrence of described increment analog data, when described increment analog data is not more than maximum corresponding to the same measurement period stored, the minima that described increment analog data is corresponding with the same measurement period stored is compared, if the minima that described increment analog data is corresponding less than the same measurement period stored, then update, with described increment analog data, the minima that the same measurement period stored is corresponding, and the time of occurrence of minima corresponding to the same measurement period stored is updated with the time of occurrence of described increment analog data.
Wherein in an embodiment, statistical module 405 can be also used for when the measurement period that described increment analog data is corresponding is a new measurement period, described increment analog data and described first threshold value are compared, if described increment analog data is more than described first threshold value, then using the described increment analog data maximum as measurement period corresponding to described increment analog data, if described increment analog data is not more than described first threshold value, then using described first threshold value maximum as measurement period corresponding to described increment analog data, described increment analog data and described second threshold value are compared, if described increment analog data is less than described second threshold value, if then described increment analog data being not less than described second threshold value as the minima described increment analog data of measurement period corresponding to described increment analog data, then using described second threshold value minima as measurement period corresponding to described increment analog data,
Memory module 406 can be also used for storing the minima of measurement period corresponding to the maximum of measurement period corresponding for described increment analog data and the time of occurrence of this maximum, described increment analog data and the time of occurrence of this minima with the characteristic of correspondence data of measurement period corresponding to described increment analog data.
Wherein in an embodiment, module 409 set up in index can adopt the mode of the MD5 calculating hashed value to the history switching value data of storage, the measurement period characteristic of correspondence data of storage.
The preprocess method one_to_one corresponding of the pretreatment system of the power transmission and transformation equipment state Monitoring Data of the present invention and the power transmission and transformation equipment state Monitoring Data of the present invention, above-mentioned power transmission and transformation equipment state Monitoring Data preprocess method embodiment set forth technical characteristic and beneficial effect all suitable in the embodiment of the pretreatment system of power transmission and transformation equipment state Monitoring Data, hereby give notice that.
Embodiment described above only have expressed the several embodiments of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the threshold value to the scope of the claims of the present invention. It should be pointed out that, for the person of ordinary skill of the art, without departing from the inventive concept of the premise, it is also possible to making some deformation and improvement, these broadly fall into protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. the preprocess method of a power transmission and transformation equipment state Monitoring Data, it is characterised in that comprise the steps:
Obtain data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Described historic state Monitoring Data is divided into history switching value data, historical simulation amount data by the data type according to described historic state Monitoring Data;
Described history switching value data is compressed, the history switching value data after storage compression;
Choose the object statistics cycle;
Statistics historical simulation amount data corresponding to object statistics cycle obtain the time of occurrence of the maximum of analog data corresponding to object statistics cycle, minima, the time of occurrence of described maximum, described minima;
By described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of object statistics cycle characteristic of correspondence data;
Judge that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
Judge that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
Calculating the hashed value of the characteristic of the measurement period of the history switching value data of storage, storage respectively, described calculated hashed value is stored as index, wherein, described index is for inquiring about Condition Monitoring Data to be analyzed.
2. the preprocess method of power transmission and transformation equipment state Monitoring Data according to claim 1, it is characterised in that described described history switching value data is compressed, the history switching value data after storage compression includes step:
Obtain described history switching value data and multiple identical data occurs sequentially in time continuously;
Determine first data in multiple identical datas of described continuous appearance, and data identical with described first data after described first data are counted to get data amount check;
Described first data and described data amount check are stored as the history switching value data after compression.
3. the preprocess method of power transmission and transformation equipment state Monitoring Data according to claim 1, it is characterised in that further comprise the steps of:
Obtain increment analog data;
If any one measurement period in the measurement period that the measurement period that described increment analog data is corresponding is corresponding with the characteristic stored is identical, then the maximum that described increment analog data is corresponding with the same measurement period stored is compared;
If the maximum that described increment analog data is corresponding more than the same measurement period stored, then update, with described increment analog data, the maximum that the same measurement period stored is corresponding, and update the time of occurrence of maximum corresponding to the same measurement period stored with the time of occurrence of described increment analog data;
If described increment analog data is not more than the maximum that the same measurement period stored is corresponding, then the minima that described increment analog data is corresponding with the same measurement period stored is compared;
If the minima that described increment analog data is corresponding less than the same measurement period stored, then update, with described increment analog data, the minima that the same measurement period stored is corresponding, and update the time of occurrence of minima corresponding to the same measurement period stored with the time of occurrence of described increment analog data.
4. the preprocess method of power transmission and transformation equipment state Monitoring Data according to claim 3, it is characterised in that further comprise the steps of:
If the measurement period that described increment analog data is corresponding is a new measurement period, then described increment analog data and described first threshold value are compared;
If described increment analog data is more than described first threshold value, then using the described increment analog data maximum as measurement period corresponding to described increment analog data, if described increment analog data is not more than described first threshold value, then using described first threshold value maximum as measurement period corresponding to described increment analog data;
Described increment analog data and described second threshold value are compared;
If described increment analog data is less than described second threshold value, then using the described increment analog data minima as measurement period corresponding to described increment analog data, if described increment analog data is not less than described second threshold value, then using described second threshold value minima as measurement period corresponding to described increment analog data;
The minima of measurement period corresponding to the time of occurrence of the maximum of measurement period corresponding for described increment analog data and this maximum, described increment analog data and the time of occurrence of this minima are stored with the form of the characteristic of correspondence data of measurement period corresponding to described increment analog data.
5. the preprocess method of power transmission and transformation equipment state Monitoring Data according to claim 1, it is characterised in that adopt the mode of MD5 that the measurement period characteristic of correspondence data of the history switching value data of storage, storage are calculated hashed value.
6. the pretreatment system of a power transmission and transformation equipment state Monitoring Data, it is characterised in that including:
Acquisition module, for obtaining data acquisition and the historic state Monitoring Data of the power transmission and transforming equipment of storage in supervisor control;
Sort module, is used for the data type according to described historic state Monitoring Data and described historic state Monitoring Data is divided into history switching value data, historical simulation amount data;
Compression module, for being compressed described history switching value data;
Choose module, be used for choosing the object statistics cycle;
Statistical module, obtains the time of occurrence of the maximum of analog data corresponding to object statistics cycle, minima, the time of occurrence of described maximum, described minima for adding up historical simulation amount data corresponding to object statistics cycle,
Memory module, for storing the history switching value data after compression, be additionally operable to by described maximum, described minima, the time of occurrence of described maximum, described minima time of occurrence store with the form of object statistics cycle characteristic of correspondence data;
Fisrt feature heavily marks module, for judging that whether described maximum is more than the first default threshold value, if it is not, then update described maximum by described first threshold value;
Second feature heavily marks module, for judging that whether described minima is less than the second default threshold value, if it is not, then update described minima by described second threshold value;
Module set up in index, for calculating the hashed value of the characteristic of the measurement period of the history switching value data of storage, storage respectively, described calculated hashed value is stored as index, and wherein, described index is for inquiring about Condition Monitoring Data to be analyzed.
7. the pretreatment system of power transmission and transformation equipment state Monitoring Data according to claim 6, it is characterised in that:
Described compression module obtains described history switching value data and occurs multiple identical data sequentially in time continuously, determine first data in multiple identical datas of described continuous appearance, and data identical with described first data after described first data are counted to get data amount check;
Described first data and described data amount check are stored by described memory module as the history switching value data after compression.
8. the pretreatment system of power transmission and transformation equipment state Monitoring Data according to claim 6, it is characterised in that:
Described acquisition module is additionally operable to obtain increment analog data;
When any one measurement period that described statistical module is additionally operable in the measurement period that the measurement period that described increment analog data is corresponding is corresponding with the characteristic stored is identical, the maximum that described increment analog data is corresponding with the same measurement period stored is compared, if the maximum that described increment analog data is corresponding more than the same measurement period stored, then update, with described increment analog data, the maximum that the same measurement period stored is corresponding, and the time of occurrence of maximum corresponding to the same measurement period stored is updated with the time of occurrence of described increment analog data, when described increment analog data is not more than maximum corresponding to the same measurement period stored, the minima that described increment analog data is corresponding with the same measurement period stored is compared, if the minima that described increment analog data is corresponding less than the same measurement period stored, then update, with described increment analog data, the minima that the same measurement period stored is corresponding, and the time of occurrence of minima corresponding to the same measurement period stored is updated with the time of occurrence of described increment analog data.
9. the pretreatment system of power transmission and transformation equipment state Monitoring Data according to claim 8, it is characterised in that:
Described statistical module is additionally operable to when the measurement period that described increment analog data is corresponding is a new measurement period, described increment analog data and described first threshold value are compared, if described increment analog data is more than described first threshold value, then using the described increment analog data maximum as measurement period corresponding to described increment analog data, if described increment analog data is not more than described first threshold value, then using described first threshold value maximum as measurement period corresponding to described increment analog data, described increment analog data and described second threshold value are compared, if described increment analog data is less than described second threshold value, then using the described increment analog data minima as measurement period corresponding to described increment analog data, if described increment analog data is not less than described second threshold value, then using described second threshold value minima as measurement period corresponding to described increment analog data,
Described memory module is additionally operable to store the minima of measurement period corresponding to the maximum of measurement period corresponding for described increment analog data and the time of occurrence of this maximum, described increment analog data and the time of occurrence of this minima with the form of the characteristic of correspondence data of measurement period corresponding to described increment analog data.
10. the pretreatment system of power transmission and transformation equipment state Monitoring Data according to claim 6, it is characterised in that:
Described index is set up module and is adopted the mode of MD5 that the measurement period characteristic of correspondence data of the history switching value data of storage, storage are calculated hashed value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410245050.6A CN104050246B (en) | 2014-06-04 | 2014-06-04 | The preprocess method of power transmission and transformation equipment state Monitoring Data and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410245050.6A CN104050246B (en) | 2014-06-04 | 2014-06-04 | The preprocess method of power transmission and transformation equipment state Monitoring Data and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104050246A CN104050246A (en) | 2014-09-17 |
| CN104050246B true CN104050246B (en) | 2016-06-08 |
Family
ID=51503078
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410245050.6A Active CN104050246B (en) | 2014-06-04 | 2014-06-04 | The preprocess method of power transmission and transformation equipment state Monitoring Data and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104050246B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107765617B (en) * | 2016-08-19 | 2020-05-08 | 中车株洲电力机车研究所有限公司 | Train axle temperature data processing method and device |
| CN110174174A (en) * | 2019-05-28 | 2019-08-27 | 广东电网有限责任公司 | Detection terminal and its application method based on infrared heat and visual light imaging |
| CN112885065B (en) * | 2021-01-14 | 2023-05-23 | 武汉宏佳启元科技有限公司 | Data transmission processing method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976248A (en) * | 2010-10-15 | 2011-02-16 | 陕西电力科学研究院 | Method for rapidly identifying environmental risk of power transmission and transformation project |
| WO2011156080A1 (en) * | 2010-06-09 | 2011-12-15 | Siemens Corporation | Systems and methods for learning of normal sensor signatures, condition monitoring and diagnosis |
| CN102685221A (en) * | 2012-04-29 | 2012-09-19 | 华北电力大学（保定） | Distributed storage and parallel mining method for state monitoring data |
| CN203587709U (en) * | 2013-08-20 | 2014-05-07 | 国家电网公司 | Intelligent transformer station integrated monitoring system |
-
2014
- 2014-06-04 CN CN201410245050.6A patent/CN104050246B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011156080A1 (en) * | 2010-06-09 | 2011-12-15 | Siemens Corporation | Systems and methods for learning of normal sensor signatures, condition monitoring and diagnosis |
| CN101976248A (en) * | 2010-10-15 | 2011-02-16 | 陕西电力科学研究院 | Method for rapidly identifying environmental risk of power transmission and transformation project |
| CN102685221A (en) * | 2012-04-29 | 2012-09-19 | 华北电力大学（保定） | Distributed storage and parallel mining method for state monitoring data |
| CN203587709U (en) * | 2013-08-20 | 2014-05-07 | 国家电网公司 | Intelligent transformer station integrated monitoring system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104050246A (en) | 2014-09-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103413188B (en) | A kind of monthly industrial power predicating method based on industry Business Process System | |
| CN101442762B (en) | Method and apparatus for analyzing network performance and locating network fault | |
| CN104050246B (en) | The preprocess method of power transmission and transformation equipment state Monitoring Data and system | |
| CN112215576A (en) | Intelligent detection management system applied to electric power field and intelligent detection method thereof | |
| CN103887792B (en) | A kind of low-voltage distribution network modeling method containing distributed power source | |
| CN110826735B (en) | Electric SCADA intelligent multidimensional query and overhaul method | |
| CN104091289A (en) | Large-scale power distribution network N-1 rapid verification method based on wiring mode rules | |
| CN103809550B (en) | Cost-saving electric power energy management device and method | |
| CN106097137A (en) | A kind of anti-electricity-theft monitoring system of differentiation based on power information acquisition system | |
| CN105445591A (en) | Converter fault diagnosis method and converter fault diagnosis device | |
| CN105279617A (en) | Method for calculating reliability influence of power distribution network project to be built on power network | |
| CN103049661B (en) | GIS remaining life appraisal procedure and system | |
| CN116993227A (en) | Heat supply analysis and evaluation method, system and storage medium based on artificial intelligence | |
| CN104573858A (en) | Prediction, regulation and control method for electric network loads | |
| CN102981071A (en) | Electrical power system major parameter monitoring method supplied for electric network management automation system | |
| CN105021888A (en) | Harmonic wave data monitoring method based on data clustering | |
| CN104915787A (en) | Method and system for correcting equipment failure rate and method and system for evaluating reliability of distribution network | |
| CN112307652B (en) | Quick maintenance method for complex equipment system based on average remaining life importance | |
| CN112801817B (en) | Electric energy quality data center construction method and system thereof | |
| CN109033126A (en) | Power grid magnanimity telemetry based on real-time PI database inquires application method | |
| CN105021876A (en) | Electric current monitoring instrument and electric current monitoring system | |
| CN115186974A (en) | Power distribution network power supply quality comprehensive evaluation method and system based on business middling station | |
| CN114372808A (en) | KNN neural network algorithm-based power consumption abnormity classification method | |
| CN103679553B (en) | The appraisal procedure of Power Network Status Estimation system and system | |
| CN113033821A (en) | Load identification machine learning system applied to algorithm core unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent for invention or patent application | ||
| CB02 | Change of applicant information |
Address after: 525000 Guangdong Province, Maoming City, Guan Shan Road, No. four, No. 2 Applicant after: MAOMING POWER SUPPLY BUREAU, GUANGDONG POWER GRID CO., LTD. Address before: 525000 Guangdong Province, Maoming City, Guan Shan Road, No. four, No. 2 Applicant before: Maoming Power Supply Bureau, Guangdong Grid Co., Ltd. |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: APPLICANT; FROM: MAOMING POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CORPORATION TO: GUANGDONG POWER GRID COMPANY MAOMING POWER SUPPLY BUREAU |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |