Unlock instant, AI-driven research and patent intelligence for your innovation.

Rural population evaluation model based on electric power big data

A technology for evaluating models and power data, applied in the field of population census, it can solve problems such as low accuracy and unapplied scenarios, and achieve the effect of high accuracy and low acquisition cost.

Pending Publication Date: 2020-01-24
邱童
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Compared with the first two population assessment methods, the latter two population assessment methods are more objective, but there are situations where some scenarios cannot be applied, resulting in a lower accuracy rate

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
  • Rural population evaluation model based on electric power big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] A rural population assessment model based on electric power big data, such as figure 1 shown, including the following steps:

[0037] Collect power data of several administrative villages provided by the State Grid;

[0038] Preprocess the collected power data;

[0039] For each administrative village, analyze its preprocessed power data and classify the village as a data type;

[0040] For the administrative villages that have been classified, according to the type of electricity consumption of each administrative village, the model fitting of the same type of administrative villages is carried out to obtain different parameters;

[0041] Several models were obtained by fitting the obtained parameters, which were the final population evaluation models.

[0042] The specific method is as follows:

[0043]Step 1, collect grid data. Collect the power grid data of 3,000 administrative villages in a certain area of ​​my country. For each village, the monthly grid data ...

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 provides a rural population evaluation model based on electric power big data. The method comprises collection and processing of electric power big data and designing of a population evaluation model based on preprocessed data. Data analysis and induction are carried out by collecting power utilization data; a unified evaluation model is formed, the generated evaluation model is usedfor evaluating the actual administrative village population; because the power grid coverage is large and complete, the situation that data cannot be used rarely exists, and the power grid data can objectively reflect the actual situation of one village, that is, the accuracy is high, and meanwhile, the data acquisition cost is not high.

Description

technical field [0001] The invention relates to the field of population census, in particular to a rural population assessment model based on electric power big data. Background technique [0002] The existing population assessment models mainly include population census, population sample survey, population assessment model based on real-time mobile phone online numbers, and population assessment model based on satellite night scene pictures. [0003] Census methods are costly and lack real-time performance. [0004] Population sample survey reduces survey cost, but census data relies heavily on sampling points, resulting in inaccurate results. [0005] The participants of the above two methods are the investigators, which have strong subjectivity. At the same time, due to the lack of corresponding supervision, there will be behaviors such as intentional omission and misreporting by the respondents during the investigation. [0006] The model based on the number of mobile...

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
IPC IPC(8): G06Q50/26G06Q50/06G06F30/20
CPCG06Q50/26G06Q50/06Y04S10/50
Inventor 邱童
Owner 邱童