Power failure statistical method of intelligent electric meter

A technology of smart meters and statistical methods, applied in the measurement of electrical variables, measuring devices, instruments, etc., can solve problems such as poor performance, incompleteness, consumption of computing resources, etc., to reduce computational complexity, be suitable for use, and simplify the statistical process. Effect

Active Publication Date: 2021-10-29
NINGBO SANXING MEDICAL & ELECTRIC CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] Existing scheme 1: Only analyze and calculate events within the statistical time period, and the three situations ③, ④, and ⑤ will be lost. The disadvantage of this scheme is: the shorter the statistical time period (such as by day), the higher the error rate , the longer the statistical time period (such as: monthly), the lower the error rate, because generally there will be no power outages that exceed one month, but there are many power outages that exceed one day
[0014] Existing plan 2: On the basis of plan 1, to reduce the error rate, generally more data will be collected for a part of the time, that is, to expand the scope of statistics, intending to cover the three situations of ③, ④, and ⑤, which will effectively reduce errors , but it cannot be completely, and the more taken may not necessarily cover all
Therefore, the disadvantage of this scheme is: although the error of scheme 1 is effectively reduced, it does consume the computing resources of the program and expand the calculation range, resulting in more data to be processed, and the algorithm also needs to filter invalid data , so the complexity of the outage time calculation algorithm is also high
[0015] To sum up, the statistical error rate of scheme 1 is high and the statistical information is incomplete; the statistical error rate of scheme 2 is higher than that of scheme 1, but it is not completely solved, and the performance of statistics is poor; both schemes 1 and 2 exist There are a lot of calculations in statistics, the pressure is concentrated, and there is a performance bottleneck

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Power failure statistical method of intelligent electric meter
  • Power failure statistical method of intelligent electric meter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0048] Such as figure 1 As shown, the smart meter analyzes according to the power-off time, power-on time and statistical time period, and there will be six types of records:

[0049] Among them, the records that the power-off time and power-on time match the pairing situation include four types:

[0050] ① The power-off time is within the statistical time period, and the power-on time is within the statistical time period;

[0051] ②The power-off time is within the statistical time period, and the power-on time is outside the statistical time period;

[0052] ③The power-off time is outside the statistical time period, and the power-on time is within the statistical time period;

[0053] ④ The power-off time is outside the statistical time period, and the power-on time is outside the statistical time period;

[0054] The power-off time and...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a power failure statistical method for an intelligent electric meter. The method comprises the following steps: step 1, storing the power-off time of the intelligent electric meter closest to the current statistical moment in an electric power acquisition system; step 2, retrieving power-off and power-on records corresponding to conditions that the power-on time is greater than or equal to the statistical start time and the power-off time is less than or equal to the statistical end time in the electric power acquisition system; step 3, time which does not belong to the statistical time period is removed from the power-off and power-on records retrieved in the step 2; step 4, searching records that the state of the intelligent electric meter at the current statistical moment is a power-off state and the power-off time of the intelligent electric meter is before the statistical ending time, and setting the recorded power-off ending time as the statistical ending time; step 5, performing statistics on the retrieved power failure time recorded in the statistical time period to obtain the power failure time of each intelligent electric meter. According to the method, the power failure condition in the cross-statistical time period can be counted, the statistical process is simplified, and the data difference value can be reduced to the minimum.

Description

technical field [0001] The invention relates to the field of smart meters, in particular to a method for counting power outages of smart meters. Background technique [0002] Today, with the vigorous promotion of smart meters, the domestic smart meter market has gradually become saturated. The system solution is standardized and designed by the State Grid Corporation of China, which solves many integration problems. Through the unified standard requirements for power equipment and power systems, come Meet business needs. However, in the vast overseas market, we are facing countries and markets with different levels of electric power informatization. The basic communication equipment is not perfect in China. Most of the power grid construction is lagging behind domestically. In developed countries, the situation is even worse. [0003] Under the circumstances that the power grid construction is insufficient and the communication environment cannot meet the transmission of p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01R11/25
CPCG01R11/25
Inventor 陈海峰
Owner NINGBO SANXING MEDICAL & ELECTRIC CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products