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

Poison banning early warning research and judgment method and system based on combination of reporting clues and multiple data sources

A technology with multiple data sources and clues, applied in the field of IT applications, can solve the problems of unfavorable clue research and judgment, high data timeliness requirements, and increased workload, so as to improve the accuracy and timeliness of early warning, realize function intensification, and break information The effect of barriers

Pending Publication Date: 2022-04-15
LINEWELL SOFTWARE
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] 2. High timeliness requirements for data
Many existing system functions can only meet part or a single use scenario, or many repeated constructions, which makes investigators need to constantly switch between multiple systems for information query back and forth during the actual case handling process, which increases the overall use efficiency. While increasing the workload, it also causes the information of clue resources to be scattered, which is not conducive to the overall and overall research and judgment of clues

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
  • Poison banning early warning research and judgment method and system based on combination of reporting clues and multiple data sources
  • Poison banning early warning research and judgment method and system based on combination of reporting clues and multiple data sources
  • Poison banning early warning research and judgment method and system based on combination of reporting clues and multiple data sources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] Aiming at the problems existing in the prior art, the present invention provides a method and system for anti-drug early warning research and judgment relying on the combination of reporting clues and multiple data sources. The present invention will be described in detail below with reference to the accompanying drawings.

[0069] Such as figure 1 As shown, the anti-drug early-warning and judging method based on reporting clues and multiple data sources provided by the embodiment of the present invention includes the following steps:

[0070] S101, clue collection and summary: Volunteers collect and report clue inf...

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 belongs to the technical field of IT (information technology) application, and discloses a method and a system for drug banning early warning research and judgment based on combination of report clues and multiple data sources, and the method for drug banning early warning research and judgment based on combination of report clues and multiple data sources comprises the following steps: collecting and summarizing clues; clue matching; early warning necessity analysis; early warning is initiated; determining a suspect trajectory; and early warning pushing. The anti-virus early warning research and judgment method based on the combination of the report clues and the multiple data sources is suitable for the field of anti-virus early warning research and judgment, data mining analysis and monitoring are carried out by means of informatization depending on the clues, early warning information is pushed to investigators once information changes of suspects are collected, and development and follow-up of subsequent capture actions are facilitated. Through a complete five-node process from clue acquisition, clue matching research and judgment, early warning initiation, early warning approval and early warning push, function intensification is realized, an information barrier is broken, multiple resources are integrated to meet actual service requirements, and early warning accuracy and timeliness are improved.

Description

technical field [0001] The invention belongs to the field of IT application technology, and in particular relates to a method and system for anti-drug early warning research and judgment relying on the combination of reporting clues and multiple data sources. Background technique [0002] At present, the flow of people, goods, and information that make up the current social elements has surged, and drug crimes have gradually become dynamic and intelligent. In the context of increasing social productivity, the multi-type and multi-channel drug crime model has added a lot of difficulty to the development of drug control work, and at the same time forced the public security organs to carry out information construction. The development of anti-drug work also puts forward a lot of requirements for information technology, data mining, and monitoring and analysis. One can go from clues to early warning research and judgment, and support the integration of multi-dimensional and mult...

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): G06Q10/10G06Q50/26G06F16/25
Inventor 吴志雄李建婷
Owner LINEWELL SOFTWARE
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