CN105389746A - Method and system for detecting electric power data - Google Patents
Method and system for detecting electric power data Download PDFInfo
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Abstract
The invention provides a method and a system for detecting electric power data. The method comprises the following steps: detecting acquired real-time electric power data of a first type, a second type and a third type respectively; judging whether the real-time electric power data of the first type are in a first default range or not, and marking the real-time electric power data with a first mark when the real-time electric power data of the first type are in the first default range, otherwise marking the real-time electric power data with a second mark; judging whether the real-time electric power data of the second type are in a second default range or not, and marking the real-time electric power data with the first mark when the real-time electric power data of the second type are in the second default range, otherwise marking the real-time electric power data with the second mark; substituting the real-time electric power data of the third type into a default detection formula, and marking the real-time electric power data with the first mark when the detection result is equal to or smaller than a default value, otherwise marking the real-time electric power data with the second mark; and covering the real-time electric power data, marked with the second mark, of each type with a default value corresponding to the type, so as to detect and mark abnormal data from a great quantity of real-time electric power data, and cover the abnormal data with default values corresponding to the types, and improve the reliability of electric power data statistics.
Description
Technical field
The present invention relates to field of power, particularly a kind of electric power data detection method and system thereof.
Background technology
The large data of electric power relate to generating, transmission of electricity, power transformation, distribution, electricity consumption, each link of scheduling, are designed into across unit, multi-disciplinary, trans-sectoral business data analysis and excavation.Along with electric network information carries out in a deep going way to implement with the deployment of electrical network " 12 " intellectuality planning, higher requirement is researched and proposed to the intelligent optimization of the mass data in electric power data storehouse.
But, in the collection storing process of existing electric power data, due to the reason produce electric arc, unbalance voltage or restart and so on, inevitably abnormal data, thus affect the reliability of data statistics, therefore, how on-line checkingi is carried out to magnanimity electric power data, ensure that the reliability of real-time electric power data statistics becomes problem demanding prompt solution.
Summary of the invention
For above-mentioned problems of the prior art, the invention provides a kind of electric power data detection method and system thereof, the reliability of real-time electric power data statistics can be improved.
Electric power data detection method of the present invention, technical scheme is as follows, comprising:
Obtain the real-time electric power data with category label, described classification comprises first category, the second classification and the 3rd classification;
Detect the real-time electric power data of first category whether in the first preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked;
Detect Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked;
The real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked;
Be preset value corresponding to classification by the real-time electric power data cover of described second identification tag of all categories.
Electric power data detection system of the present invention, technical scheme is as follows, comprising:
Data acquisition module, for obtaining the real-time electric power data with category label, described classification comprises first category, the second classification and the 3rd classification;
Data detection module, for detecting the real-time electric power data of first category whether in the first preset range, if so, marks described real-time electric power data by the first mark, otherwise, identify with second and described real-time electric power data are marked; Detect Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked; The real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked;
Data cover module, for by the real-time electric power data cover of described second identification tag of all categories being preset value corresponding to classification.
Electric power data detection method of the present invention and system thereof, by detecting the first category of acquisition respectively, the real-time electric power data of the second classification and the 3rd classification, if the real-time electric power data of first category are in the first preset range, or other real-time electric power data of Equations of The Second Kind are in the second preset range, or the result that the detection formula that the substitution of the real-time electric power data of the 3rd classification is preset obtains is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked, be preset value corresponding to classification again by the real-time electric power data cover of described second identification tag of all categories, thus detect from a large amount of real-time electric power data and mark abnormal data, and abnormal data is covered as preset value corresponding to classification, improve the reliability of electric power data statistics.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the electric power data detection method of an embodiment;
Fig. 2 is the schematic flow sheet of the electric power data detection system of an embodiment.
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, the present invention is described in further detail.
Refer to the schematic flow sheet of the electric power data detection method of an embodiment in Fig. 1, comprise step S101 to step S105:
S101, obtains the real-time electric power data with category label, and described classification comprises first category, the second classification and the 3rd classification.
Wherein, the described real-time electric power data with category label comprise the power class data of the voltage class data of first category, other capacitance kind data of Equations of The Second Kind and the 3rd classification.
Particularly, by the real-time electric power data of multiple sensors collection with pre-assigned first category, the second classification and the 3rd classification, wherein, voltage class data are the real-time electric power data of first category, capacitance kind data are other real-time electric power data of Equations of The Second Kind, and power class data are the real-time electric power data of the 3rd classification.
S102, detects the real-time electric power data of first category whether in the first preset range, if so, marks described real-time electric power data by the first mark, otherwise, identify with second and described real-time electric power data are marked.
Particularly, if the described real-time electric power data obtained in step 101 mark with first category, step 102 calls the first preset range value of corresponding real-time electric power data, when described real-time electric power data are in the first preset range, use real-time electric power data described in the first identification tag, otherwise, use real-time electric power data described in the second identification tag.
Such as, the magnitude of voltage obtained is the real-time electric power data of first category, normal voltage is 220kV, first preset range value of voltage is 170 ~ 270kV, when the magnitude of voltage obtained is within 170 ~ 270kV, use magnitude of voltage described in the first identification tag, otherwise, use magnitude of voltage described in the second identification tag.The code that first mark and the second mark carry by grid equipment is arranged, and as code=2 represents the first mark, code=3 represents the second mark.Wherein, the real-time electric power data of described use first identification tag are normal data, are abnormal data by the real-time electric power data of the second identification tag.
S103, detects Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, marks described real-time electric power data by the first mark, otherwise, identify with second and described real-time electric power data are marked.
Particularly, if the described real-time electric power data obtained in step 101 are with the second category label, step 103 calls the second preset range value of corresponding real-time electric power data, when described real-time electric power data are in the second preset range, use real-time electric power data described in the first identification tag, otherwise, use real-time electric power data described in the second identification tag.
Such as, the reactive power obtained is other real-time electric power data of Equations of The Second Kind, second preset range of reactive power be absolute value be greater than 0.2 or absolute value equal 0, when the reactive power obtained meet absolute value be greater than 0.2 or absolute value equal one of 0 condition time, use the first identification tag reactive power, otherwise, use the second identification tag reactive power.Wherein, the real-time electric power data of described use first identification tag are normal data, are abnormal data by the real-time electric power data of the second identification tag.
S104, the real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked.
Particularly, if the described real-time electric power data obtained in step 101 are with the 3rd category label, step 104 calls the default detection formula of described real-time electric power data and setting threshold value, described real-time electric power data are substituted into the detection formula preset calculate, the result calculated and described setting threshold value compare, and when being less than or equal to setting threshold value, use real-time electric power data described in the first identification tag, otherwise, use real-time electric power data described in the second identification tag.Wherein, the real-time electric power data of described use first identification tag are normal data, are abnormal data by the real-time electric power data of the second identification tag.
Such as, when getting the power data with the 3rd category label, described power data being substituted into following detection formula and calculates:
D＝|(Pi-P)/P|
Wherein, P is rated power, and Pi is the power data of the 3rd classification obtained in step S101, result D will be calculated compare with setting threshold value, when D is less than or equal to setting threshold value, use the first identification tag power, otherwise, use the second identification tag power.
The real-time electric power data cover of described second identification tag of all categories is preset value corresponding to classification by S105.
Further, before step S105, obtain the mean value of the real-time electric power data of first category first identification tag in the setting period, as the first preset value; Obtain the mean value of the real-time electric power data of the second classification first identification tag in the setting period, as the second preset value; Obtain the mean value of the real-time electric power data of the 3rd classification first identification tag in the setting period, as the 3rd preset value.
Particularly, be corresponding preset value by the real-time electric power data cover of described second identification tag of all categories, comprising the real-time electric power data cover of first category second identification tag is described first preset value; Be described second preset value by the real-time electric power data cover of the second classification second identification tag; Be described 3rd preset value by the real-time electric power data cover of the 3rd classification second identification tag.
By obtaining the mean value of the real-time electric power data of the first identification tag of all categories in the setting period as preset value, be preset value corresponding to classification by the real-time electric power data cover of the second identification tag of all categories, thus effectively cover abnormal real-time electric power data, improve the reliability of data statistics further.
In order to better understand the electric power data detection method of above-described embodiment, shown below is a concrete implementation, implementation procedure comprises:
The pre-assigned real-time electric power data with first category, the second classification and the 3rd category label are exported by multiple sensors output terminal, wherein, voltage class data markers first category, capacitance kind data markers second classification, power class data markers the 3rd classification.
By first processor, the described real-time electric power data with mark of all categories are detected, wherein first processor is connected respectively to the detection data field in the output terminal of multiple sensor and database, stores the first preset range, the second preset range, detection formula and threshold value in described detection data field; Database also comprises authentic data district, stores the preset value in the setting period, the real-time electric power data of described second identification tag of all categories being carried out the correspondence of all categories covered in described authentic data district.
Described first processor receives the described real-time electric power data that multiple sensor exports, call the first preset range of Autonomous test data field, the second preset range, detection formula and threshold value, after described real-time electric power data with individual category label are detected, use real-time electric power data described in the first mark or the second identification tag respectively.
Be preset value corresponding to classification by the real-time electric power data cover of described second identification tag of all categories by the second processor, second processor is connected respectively to described first processor and described authentic data district, the use first that described second processor receives the transmission of described first processor identifies or the second described real-time electric power data identified, calculate the mean value of the described real-time electric power data that use first of all categories identifies respectively, then described mean value is transferred to described authentic data district, call the real-time electric power data that the real-time electric power statistical average of all categories be stored in authentic data district covers the second mark of corresponding classification.
Store in set time section in described authentic data district, be transferred to described authentic data district described in each mean value from described second processor, described mean value is the mean value of the described real-time electric power data of use first identification tag of all categories.
Pass through memory stores data, storer is divided into the first memory block and the second memory block, described first memory block is connected to described first processor, described second memory block is connected to described second processor, described first memory block stores the data transmitted by described first processor, and it comprises the real-time electric power data of use first mark and the second identification tag.
Described second memory block stores the data of the second processor transmission, and it comprises the mean value of the real-time electric power data of use first identification tag and the described real-time electric power data of use first identification tag of all categories.
Data are shown by display, display is connected to described storer, all data of described display described first memory block of display and/or described second memory block, the real-time electric power data of use first identification tag of described display display are normal data, the real-time electric power data using the second identification tag are abnormal data, do not use the real-time electric power data of identification tag to be described mean value.
Also comprise backup area in database, backed up by all data of backup area to storer.
Known by above-described embodiment, by detecting the first category of acquisition respectively, the real-time electric power data of the second classification and the 3rd classification, if the real-time electric power data of first category are in the first preset range, or other real-time electric power data of Equations of The Second Kind are in the second preset range, or the result that the detection formula that the substitution of the real-time electric power data of the 3rd classification is preset obtains is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked, be preset value corresponding to classification again by the real-time electric power data cover of described second identification tag of all categories, thus detect from a large amount of real-time electric power data and mark abnormal data, and abnormal data is covered as preset value corresponding to classification, improve the reliability of electric power data statistics.
The present invention also provides a kind of electric power data detection system, as shown in Figure 2, comprising:
Data acquisition module 201, for obtaining the real-time electric power data with category label, described classification comprises first category, the second classification and the 3rd classification.
Data detection module 202, for detecting the real-time electric power data of first category whether in the first preset range, if so, marks described real-time electric power data by the first mark, otherwise, identify with second and described real-time electric power data are marked; Detect Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked; The real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked.
Data cover module 203, for by the real-time electric power data cover of described second identification tag of all categories being preset value corresponding to classification.
Wherein, the real-time electric power data of described use first identification tag are normal data, are abnormal data by the real-time electric power data of the second identification tag.
The electric power data detection system of the present embodiment, data detection module 202 detects the first category that data acquisition module 201 obtains respectively, the real-time electric power data of the second classification and the 3rd classification, if the real-time electric power data of first category are in the first preset range, or other real-time electric power data of Equations of The Second Kind are in the second preset range, or the result that the detection formula that the substitution of the real-time electric power data of the 3rd classification is preset obtains is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked, the real-time electric power data cover of described second identification tag of all categories is preset value corresponding to classification by data cover module 203, thus detect from a large amount of real-time electric power data and mark abnormal data, and abnormal data is covered as preset value corresponding to classification, improve the reliability of electric power data statistics.
Wherein, the described real-time electric power data with category label comprise the power class data of the voltage class data of first category, other capacitance kind data of Equations of The Second Kind and the 3rd classification.
Wherein in an embodiment, described data cover module comprises preset value and arranges submodule, for obtaining the mean value of the real-time electric power data of first category first identification tag in the setting period, as the first preset value; Obtain the mean value of the real-time electric power data of the second classification first identification tag in the setting period, as the second preset value; Obtain the mean value of the real-time electric power data of the 3rd classification first identification tag in the setting period, as the 3rd preset value.
And data cover submodule, for being described first preset value by the real-time electric power data cover of first category second identification tag; Be described second preset value by the real-time electric power data cover of the second classification second identification tag; Be described 3rd preset value by the real-time electric power data cover of the 3rd classification second identification tag.
By obtaining the mean value of the real-time electric power data of the first identification tag of all categories in the setting period as preset value, be preset value corresponding to classification by the real-time electric power data cover of the second identification tag of all categories, thus effectively cover abnormal real-time electric power data, improve the reliability of data statistics further.
Wherein in an embodiment, described electric power data detection system also comprises:
Memory module, for storing the preset value of detection formula corresponding to described first preset range, the second preset range, the 3rd classification real-time electric power data and threshold value and correspondence of all categories; And for storing the real-time electric power data with the first identification tag and the real-time electric power data with the second identification tag.
Particularly, described memory module comprises database purchase submodule, it comprises detection data cell and authentic data unit, store detection formula corresponding to the first preset range, the second preset range, the 3rd classification real-time electric power data and threshold value in described detection data cell, in described authentic data unit, store the preset value of described correspondence of all categories.
Wherein in an embodiment, described electric power data detection system also comprises:
Display module, for showing the preset value of detection formula corresponding to described first preset range, the second preset range, the 3rd classification real-time electric power data and threshold value and correspondence of all categories; And for showing the real-time electric power data with the first identification tag and the real-time electric power data with the second identification tag.The real-time electric power data of use first identification tag of described display module display are normal data, and be abnormal data by the real-time electric power data of the second identification tag, the described real-time electric power data not using mark are preset value.
Further, described electric power data detection system also comprises acquisition module, and described acquisition module can be multiple sensors, and its output terminal exports the real-time electric power data with first category, the second classification and the 3rd category label.
Further, described electric power data detection system also comprises data backup module, and all data of described data backup module to memory module back up.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this instructions is recorded.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction 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, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (6)
1. electric power data detection method, is characterized in that, comprising:
Obtain the real-time electric power data with category label, described classification comprises first category, the second classification and the 3rd classification;
Detect the real-time electric power data of first category whether in the first preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked;
Detect Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked;
The real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked;
Be preset value corresponding to classification by the real-time electric power data cover of described second identification tag of all categories.
2. electric power data detection method according to claim 1, is characterized in that, the described real-time electric power data cover by described second identification tag of all categories comprises before being preset value corresponding to its classification:
Obtain the mean value of the real-time electric power data of first category first identification tag in the setting period, as the first preset value;
Obtain the mean value of the real-time electric power data of the second classification first identification tag in the setting period, as the second preset value;
Obtain the mean value of the real-time electric power data of the 3rd classification first identification tag in the setting period, as the 3rd preset value;
The described real-time electric power data cover by described second identification tag of all categories is preset value corresponding to classification, comprising:
Be described first preset value by the real-time electric power data cover of first category second identification tag;
Be described second preset value by the real-time electric power data cover of the second classification second identification tag;
Be described 3rd preset value by the real-time electric power data cover of the 3rd classification second identification tag.
3. electric power data detection system, is characterized in that, comprising:
Data acquisition module, for obtaining the real-time electric power data with category label, described classification comprises first category, the second classification and the 3rd classification;
Data detection module, for detecting the real-time electric power data of first category whether in the first preset range, if so, marks described real-time electric power data by the first mark, otherwise, identify with second and described real-time electric power data are marked; Detect Equations of The Second Kind other real-time electric power data whether in the second preset range, if so, by the first mark, described real-time electric power data are marked, otherwise, identify with second and described real-time electric power data are marked; The real-time electric power data of the 3rd classification are substituted into the detection formula preset calculate, if result of calculation is less than or equal to setting threshold value, by the first mark, described real-time electric power data are marked, otherwise, by the second mark, described real-time electric power data are marked;
Data cover module, for by the real-time electric power data cover of described second identification tag of all categories being preset value corresponding to classification.
4. electric power data detection system according to claim 3, is characterized in that, described data cover module comprises:
Preset value arranges submodule, for obtaining the mean value of the real-time electric power data of first category first identification tag in the setting period, as the first preset value; Obtain the mean value of the real-time electric power data of the second classification first identification tag in the setting period, as the second preset value; Obtain the mean value of the real-time electric power data of the 3rd classification first identification tag in the setting period, as the 3rd preset value;
And data cover submodule, for being described first preset value by the real-time electric power data cover of first category second identification tag; Be described second preset value by the real-time electric power data cover of the second classification second identification tag; Be described 3rd preset value by the real-time electric power data cover of the 3rd classification second identification tag.
5. electric power data detection system according to claim 3, is characterized in that, also comprise:
Memory module, for storing the preset value of detection formula corresponding to described first preset range, the second preset range, the 3rd classification real-time electric power data and threshold value and correspondence of all categories; And for storing the real-time electric power data with the first identification tag and the real-time electric power data with the second identification tag.
6. electric power data detection system according to claim 5, is characterized in that, also comprise:
Display module, for showing the preset value of detection formula corresponding to described first preset range, the second preset range, the 3rd classification real-time electric power data and threshold value and correspondence of all categories; And for showing the real-time electric power data with the first identification tag and the real-time electric power data with the second identification tag.
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| CN113156869A (en) * | 2021-05-14 | 2021-07-23 | 深圳得讯信息技术有限公司 | Remote maintenance system and method for electric power internet of things terminal equipment |
| CN113156869B (en) * | 2021-05-14 | 2024-02-23 | 深圳得讯信息技术有限公司 | Remote maintenance system and method for electric power Internet of things terminal equipment |
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