Intelligent city environmental sanitation resource scheduling system based on sparse self-encoding and SVM

A sparse self-encoding and resource scheduling technology, applied in the field of smart city sanitation resource scheduling system, can solve problems such as difficult to meet, and achieve the effect of simple and efficient data dimension reduction and simple algorithm

Pending Publication Date: 2020-08-28
JIYUAN VOCATIONAL & TECHN COLLEGE
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional garbage removal mode is diffic

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
  • Intelligent city environmental sanitation resource scheduling system based on sparse self-encoding and SVM
  • Intelligent city environmental sanitation resource scheduling system based on sparse self-encoding and SVM
  • Intelligent city environmental sanitation resource scheduling system based on sparse self-encoding and SVM

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0038] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:

[0039] The present invention proposes a smart city sanitation resource scheduling system based on sparse self-encoding and SVM, which reasonably schedules city public resources according to city clean information. Such as figure 1 It is the system flow chart.

[0040] First, the server uses the city monitoring system to collect street spam information in various areas of the city; the training image information is manually preprocessed and tagged.

[0041] The method of image information preprocessing is to convert the RGB color space model to YCrCb, and discard the Cr and Cb components and only retain the Y component. The conversion formula is:

[0042] Y=0.299R+0.587G+0.114B (1)

[0043] Cr=0.511R-0.428G-0.083B+128 (2)

[0044] Cb=-0.172R-0.339G+0.511B+128 (3)

[0045] Among them, R represents the RED component of the RGB model, G represents the GREEN comp...

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 an intelligent city environmental sanitation resource scheduling system based on sparse self-coding and SVM. In order to meet the requirements of urban construction management, sparse self-coding is used for carrying out data dimension reduction on image information of main urban streets, and key features of images are extracted; and then the image features are sent to anSVM training recognition model, the cleaning conditions of all streets of the city are evaluated, and urban environmental sanitation resources are reasonably scheduled according to the evaluation result. The urban environmental sanitation information can be fully understood, urban environmental sanitation work can be carried out very favorably, Meanwhile, the urban environmental sanitation information can be used as a powerful basis for upper-layer decision making and is also an important basis for urban planning.

Description

technical field [0001] The invention relates to the field of artificial intelligence, and especially designs a smart city sanitation resource scheduling system based on sparse self-encoding and SVM. Background technique [0002] Urban environmental sanitation management is a task involving a wide range of areas, a large workload, and complicated matters. If we can fully understand the information of urban environmental sanitation, it will be very beneficial to the urban environmental sanitation work, and it will also serve as a powerful basis for upper-level decision-making. It is an important basis for urban planning. The traditional garbage removal mode is difficult to meet and suitable for urban development. At the same time, in order to meet the needs of urban construction management, it is of great practical significance to rationally optimize the collection and transportation system. [0003] In view of the above problems, the present invention uses a camera to colle...

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): G06Q10/06G06Q10/04G06Q50/26G06K9/62G06N3/04
CPCG06Q10/06312G06Q10/04G06Q50/26G06N3/045G06F18/2411G06F18/214
Inventor 王亚利
Owner JIYUAN VOCATIONAL & TECHN COLLEGE
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap