Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A rapid site selection method and device for a new store based on big data analysis

A big data and data technology, applied in the field of physical address selection of Internet of Things nodes, can solve the problems of lack of objectivity, low efficiency, high cost of time and material resources, and achieve the effect of enhancing objectivity

Pending Publication Date: 2019-03-08
朱学庆
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Among the existing store location selection methods, manual data collection and observation are mainly carried out in several pre-selected addresses with a lot of traffic. The factors considered mainly include traffic flow, store rent, flow Due to the use of manual collection and manual evaluation, the uncertainty of the evaluation results is very serious, not only lacks objectivity, but also costs a lot of time and material resources, and is inefficient

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
  • A rapid site selection method and device for a new store based on big data analysis
  • A rapid site selection method and device for a new store based on big data analysis
  • A rapid site selection method and device for a new store based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Embodiment 1 A fast location selection method for new stores based on big data analysis

[0048] see figure 1 , is a flow chart of an embodiment of the method for fast location selection of new stores based on big data analysis provided by the present invention; as figure 1 As shown, the method for fast location selection of a new store based on big data analysis includes steps S1-S6:

[0049] Step S1: Data collection step: determine the geographical range of data pre-collection, divide the pre-collected geographical range to form regional regional information data, set at least one predetermined collection point based on the regional geographical information data; set data collection at the predetermined collection point equipment, the data collection equipment includes a first data collection device and a second data collection device;

[0050] Obtaining raw data information through the data acquisition device, the raw data information including subject object data ...

Embodiment 2

[0103] Embodiment 2: A fast location selection device for new stores based on big data analysis.

[0104] The device includes a data acquisition device, a data filtering calculation device, a data analysis device, a data labeling device, a data query device, a data update and correction device:

[0105] The data acquisition device is used to determine the geographical range of data pre-collection, divide the pre-collected geographical range to form regional regional information data, and set at least one collection predetermined point based on the regional regional information data; set data at the predetermined collection point Acquisition equipment, the data acquisition equipment includes first data acquisition equipment and second data acquisition equipment; raw data information is obtained through the data acquisition equipment, and the original data information includes subject object data information and object object data information; Preprocessing the raw data informat...

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 rapid site selection method and device for a new store based on big data analysis, and belongs to the field of data processing and information systems. The method comprisesthe following steps of step S1 a data acquisition step; S2 a data filtering calculation step; S3 a data analysis step; S4 a data labeling step; S5 a data query step; and S6 a data updating and correcting step. The structured data information is established in a diversified data acquisition mode. A direction point matrix is constructed, multiple factors such as people flow and people flow quality (including people flow sources and directions) are fully considered, the multiple factors are integrated from one or more to-be-selected predetermined point addresses through a mathematical model in combination with a heuristic search algorithm, the objectivity of commercial site selection is enhanced, and a user can be helped to rapidly select the optimal address.

Description

technical field [0001] The invention relates to the technical fields of big data and geographic information systems, in particular to a method and a device for selecting a physical address of an Internet of Things node. Background technique [0002] Shop site selection is the process of demonstrating and making decisions on the address of the shop before renting and building the shop. The significance of shop location selection is very important. Shop location selection is a long-term investment. Compared with other factors, it is long-term and fixed. When the external environment changes, other operating factors can be adjusted accordingly. , in order to adapt to changes in the external environment; once the store site is determined, it is difficult to change in the short term, and the company can benefit in the long run if the store site is selected well; the store site selection is an important factor affecting the economic benefits of the company. For the store, it occup...

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): G06Q10/04
CPCG06Q10/043
Inventor 朱学庆
Owner 朱学庆
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com