Vegetable price abnormality prewarning method and vegetable price abnormality prewarning device

An early warning device and price technology, applied in the field of big data, can solve the problems of not being able to seize business opportunities in time, not being widely used, and economic losses

Inactive Publication Date: 2017-05-31
SHENZHEN SPRINGWOODS HLDG CO LTD
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In related technologies, it has become a trend to collect big data to predict specific industries or specific information, but it is not widely used in agriculture. Since the agricultural cloud does not have the abnormal monitoring function of big data vegetable prices, sales staff Unable to adjust in time according to price abnormalities, so that business opportunities cannot be seized in time, and even cause economic losses

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
  • Vegetable price abnormality prewarning method and vegetable price abnormality prewarning device
  • Vegetable price abnormality prewarning method and vegetable price abnormality prewarning device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0070] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented by a third party different from the third party described here. Therefore, the protection scope of the present invention is not limited by the following disclosure. limitations of specific examples.

[0071] figure 1 A schematic flow chart of a method for early warning of abnormal vegetable prices according to an embodiment of the present invention is shown.

[0072] Such as figur...

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 vegetable price abnormality prewarning method and a vegetable price abnormality prewarning device. The vegetable price abnormality prewarning method comprises the following steps: determining a price trend of any vegetable; according to the price trend of any vegetable, detecting whether to generate price abnormality prewarning information of any vegetable. Through the technical scheme adopted by the invention, through monitoring of the price trend, automatic prewarning of an abnormal price is achieved when the price is abnormal, therefore, a user can timely make market adjustment according to the prewarning information, and the user can timely seize a commercial opportunity and perform risk aversion.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to an early warning method for abnormal vegetable prices and an early warning device for abnormal vegetable prices. Background technique [0002] In related technologies, it has become a trend to collect big data to predict specific industries or specific information, but it is not widely used in agriculture. Since the agricultural cloud does not have the abnormal monitoring function of big data vegetable prices, sales staff It cannot be adjusted in time according to the abnormal price, so that business opportunities cannot be seized in time, and even economic losses are caused. Contents of the invention [0003] Based on at least one of the above technical problems, the present invention proposes a new early warning scheme for abnormal vegetable prices. By determining the price trend of any vegetable, it is determined whether to generate the price trend of any vegetable...

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): G06Q30/02
CPCG06Q30/0283
Inventor 王刚
Owner SHENZHEN SPRINGWOODS HLDG 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