数字化交通总体架构图
2024-12-20 08:20:30 0 举报数字化交通总体架构图概述了智慧交通系统的核心组件及相互关系，包括智能感知、通信交互、数据处理、决策支持和出行服务等关键环节。该架构图为我们展示了数字化交通的组成，如摄像头、传感器等智能感知设备实时收集交通数据，通过高效的通信网络进行交互，基于大数据和人工智能技术进行数据处理和决策支持，为用户提供个性化、智能化的出行服务。本架构图为数字化交通的建设提供了理论支持和实施指导，有助于推动智慧城市建设和可持续发展。
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大纲/内容
ExecutorEdge
OBJ_STRING
dictht
*privdata
CountWindow(CW)
5
StreamNode
a
4
10:26
1
Source
Kafka
YOLOv5
python
parallelism=x
used:0
API:single
d
ECS
10:29
API:batch
w2
type
alloc:32
Intermediate DataSet
0
RedisObject
sizemask:4
JobVertex
pauserehash:0
dict ht[2]
7
JobGraph
Redis Distributed Lock
lru
w5
Execution span style=\
KeyBy&CW-> Process【2/x】
Cloud Infrastructure
Process
Dict
2
ExecutionGraph
Resource Isolation
10:04
Intermediate ResultPartition
10:27
dictEntry
KeyBy
numpy
1DData Distribution Simulator Microservice
rehashidx:-1
ht[0]
Message Middleware
Forward
Thread3
Map【1/x】
6
Thread2
Source【1/x】
Map
key
nginx
10:00
Load Balance
refcount
Intermediate Result
*type
encoding
Flink
Server Node 1
\\0
10:30
Image Dataset
Weight Factors
ht[1]
OBJ_ENCODING_EMBSTR
Hash Test Data is Unique
w4
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9
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KeyBy&CW-> Process
SDS
used:2
StreamGraph
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flag:1
File Storage NAS
StreamEdge
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Image MD5 value
CPU
10:01
JobEdge
dictEntry **table
Data Distribution System
10:02
ZooKeeper
3DHigh Computational Power Neural Network Microservice
Memory Structure
NULL
Thread1
tail
Thread Pool A
KeyBy&CW-> Process【1/x】
10:24
Map【2/x】
10:25
Hash
YOLOv5 Model Cluster Service
ptr
w1
sizemask:0
2DReal-time Big Data Collection and Time Serialization Microservice
dictEntry *[n]
head
3
GPU
10:28
w3
size:4
10:05
Server Node n
OBJ_ENCODING_HT
CUDA
10:03
size:0
len:32
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