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Institution
경기도 수원시
Department
스마트도시과

○멀티모달형 AI기반 지능형 포트홀 탐지 플랫폼 구축

Programme 스마트빌리지 보급 및 확산(멀티모달형 AI 기반 지능형포트홀 탐지 플랫폼 구축)(균특)

Amounts and period

Budgeted amount
900,000,000 KRW
전년도예산액
Present in the source but not extracted
Change
Not comparable

Changes are calculated only when both amounts are known in full. No percentage is calculated when the comparison amount is zero.

Programme hierarchy and share

The selected item’s share of each parent budget, calculated from amounts in the same source document.

A share is not calculated for missing or partial amounts, non-positive parent amounts, or an item amount greater than its parent.

  1. Department 스마트도시과 1,348,211,000 KRW
  2. Policy 미래지향적인 도시계획 1,312,531,000 KRW
  3. Programme 스마트시티 구현 1,312,531,000 KRW
  4. Project 스마트빌리지 보급 및 확산(멀티모달형 AI 기반 지능형포트홀 탐지 플랫폼 구축)(균특) 900,000,000 KRW
  5. Budget category 연구개발비 900,000,000 KRW
  6. Statistical item 전산개발비 900,000,000 KRW
  7. Item ○멀티모달형 AI기반 지능형 포트홀 탐지 플랫폼 구축 900,000,000 KRW
Category–statistical code
207-02
Group
Not provided in source

Original description

○멀티모달형 AI기반 지능형 포트홀 탐지 플 랫폼 구축 900,000,000원

Institution and programme names are shown as the original Korean source text.

Detailed budget items

1 items
  1. ○멀티모달형 AI기반 지능형 포트홀 탐지 플랫폼 구축 207-02 Page 553 Selected item 900,000,000 KRW Opens in a new window

Data source

View source document details
Document ID
doc_3wz3exw6tf8j22mcqwvgfy9etx
Source document status
Available
File type
application/pdf
File size
14,131.446 KiB
Location inside the source
Page 553 Row 12 Line 2 Column level4

Source and reference

FY 2026 release No source record

Fiscal year of record
2026
Fetched from the source
2026-07-29 20:38
Read and interpreted
2026-07-29 20:38
Query snapshot refreshed
2026-09-02 03:23
Item ID
bi_511ba9pd7kxb2pm8c86j0s3t29

Similar budgets

Items share the same budget classification and a related name. Different years may be included. The name search uses the keyword without a classification filter.

Keyword “멀티모달형” · classification 207-02

No items with the same classification were found among the candidates checked.

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