CN-121999600-A - Intelligent identification and safety early warning system of slow-going cultural line

CN121999600ACN 121999600 ACN121999600 ACN 121999600ACN-121999600-A

Abstract

The invention relates to the technical field of intelligent traffic and Internet of things monitoring and discloses an intelligent identification and safety early warning system of a slow-going cultural line, which comprises a sensing layer, a sensing layer and a sensing layer, wherein the sensing layer is used for acquiring line multidimensional data by using an environment sensor and video radar fusion equipment; the system comprises a transmission layer, a platform layer, an application layer and an application layer, wherein the transmission layer adopts 5G, loRa and near field communication to construct a multi-mode fusion network for data distribution transmission, the platform layer integrates an AI analysis engine, a safety early warning model and a user portrait module for data analysis, and the application layer executes intelligent identification display and safety early warning based on analysis results. According to the invention, the data bandwidth and the energy consumption are balanced through a multi-mode network transmission strategy, the personalized pushing of cultural resources and dynamic path planning are realized by utilizing deep learning and user portrait technology, and the multi-channel linkage alarm of a trigger terminal, a mobile terminal and a management terminal is based on multi-dimensional risk assessment, so that the intelligent management level and the safety response efficiency of a slow line are remarkably improved.

Inventors

LI LEI
TIAN CHUNLIN
YANG HUANYU
WANG ANYU
ZHANG TIANTIAN
WU PING
YANG DONG
Mai Yuanyuan

Assignees

交通运输部科学研究院

Dates

Publication Date: 20260508
Application Date: 20260128

Claims (10)

1. An intelligent identification and safety pre-warning system of a slow-going cultural line, which is characterized by comprising: The sensing layer is used for collecting multidimensional data of a line and comprises an environment monitoring sensor, traffic flow and safety monitoring equipment and an intelligent identification terminal, wherein the environment monitoring sensor, the traffic flow and safety monitoring equipment and the intelligent identification terminal are arranged along the line, and the intelligent identification terminal is arranged at a key node; The transmission layer is configured to transmit the traffic flow and the video data, the traffic flow data and the radar data acquired by the safety monitoring equipment through a 5G network, transmit the environment data acquired by the environment monitoring sensor through a low-power-consumption wide area network and support the intelligent identification terminal to perform near-field data interaction through a WiFi or NFC channel; The platform layer receives the multidimensional data transmitted by the transmission layer, and comprises an AI analysis engine, a cultural information database, a safety early warning model and a user portrait module, wherein the AI analysis engine analyzes video data and traffic flow data contained in the multidimensional data based on a deep learning algorithm and outputs a traffic congestion level and a pavement abnormality degree; The intelligent identification display function is used for driving the intelligent identification terminal, pushing culture resources according to an analysis result of the user portrait module, dynamically planning an optimal slow-going route by combining the traffic congestion level output by the AI analysis engine, and triggering multi-channel alarming when the traffic congestion level or the road surface abnormality exceeds a threshold set by the safety early-warning model.
2. The intelligent identification and safety pre-warning system for a slow-going text line according to claim 1, wherein the environment monitoring sensor specifically comprises a temperature and humidity sensor, a precipitation sensor, an illumination sensor and an air quality sensor, and is used for collecting temperature, humidity, rainfall, illumination intensity and air quality indexes of a line area in real time.
3. The intelligent identification and security pre-warning system for slow-going cultural lines of claim 1, wherein said traffic flow and security monitoring device further comprises an infrared counter; The video camera and the millimeter wave radar are configured to align space-time data of a monitoring area, and are used for monitoring the number, density and advancing speed of pedestrians and riders and identifying road obstacles, ponding areas and illegal intrusion behaviors.
4. The intelligent identification and safety pre-warning system of the slow-going cultural line according to claim 1 is characterized in that a hardware structure of the intelligent identification terminal comprises a multi-point touch screen, an LED warning display screen, a Beidou and GPS dual-mode positioning module and a near field communication module corresponding to the NFC channel, and the intelligent identification terminal is used as a functional output carrier of the application layer.
5. The intelligent identification and security pre-warning system for slow-going cultural lines according to claim 1, wherein the low-power wide area network is a LoRa network; And the transmission layer adopts an MQTT or CoAP protocol to package the data acquired by the environment monitoring sensor and then transmits the data to the platform layer through the LoRa network.
6. The intelligent identification and security pre-warning system of a slow-going text line according to claim 1, wherein the platform layer further comprises a data processing module, the data processing module is configured to pre-process the multidimensional data uploaded by the transmission layer, the pre-process comprises data cleaning, multi-source data fusion, denoising and data format unification, and a system base database is built based on the pre-processed data.
7. The intelligent identification and safety pre-warning system for slow-going cultural lines according to claim 1, wherein the cultural information database stores historical cultural resource information along the slow-going cultural lines and supports classified storage and dynamic update of information, and the user portrayal module is configured to construct a multi-dimensional user portrayal containing user interest tags according to registration information, historical interaction records and real-time travel route data of users.
8. The intelligent identification and safety pre-warning system of a slow-going cultural line according to claim 1, wherein the safety pre-warning model is configured to receive environmental data collected by the environmental monitoring sensor, a traffic congestion level and a road surface abnormality level output by the AI analysis engine, calculate a comprehensive safety risk index through a weighting algorithm, and compare the comprehensive safety risk index with a preset safety threshold value to generate safety pre-warning instructions of different levels.
9. The intelligent identification and security pre-warning system for slow-going cultural lines according to claim 1, wherein the intelligent identification display function comprises: The intelligent identification terminal displays basic guide information of the current position, surrounding scenic spot distribution, travelling direction and distance; dynamically pushing matched line culture resource introduction on the intelligent identification terminal based on the interest tag of the user portrait; And calculating an optimal slow route avoiding the congestion road section based on the people stream congestion level and the destination set by the user, and performing visual navigation on the intelligent identification terminal.
10. The intelligent identification and security pre-warning system for slow-going cultural lines of claim 1, wherein said multi-channel alarm comprises: The terminal gives an early warning, sends a control instruction to the intelligent identification terminal, controls the LED warning display screen to display early warning grades and prompt information, and synchronously touches the audible and visual alarm device; early warning of a mobile phone, namely pushing early warning notification with accurate position attribute to a user in a risk area through a mobile terminal application program; and the management end gives early warning and sends early warning details containing abnormal field video screenshot and auxiliary treatment suggestions to the line operation management platform.

Description

Intelligent identification and safety early warning system of slow-going cultural line Technical Field The invention relates to the technical field of intelligent traffic and internet of things monitoring, in particular to an intelligent identification and safety early warning system of a slow-going cultural line. Background With the rapid increase of the demands of society for travel and leisure, the groups of long-distance travel, outdoor exercises, leisure and recreation and cultural experiences are increasingly larger through slow traffic modes (hiking, riding and the like), and the construction scale of slow traffic infrastructures such as green roads, walking roads, riding special roads and the like is increasingly enlarged. Such slow roads, in addition to being located at parks, waterfront areas or urban edges, also extend to the rural and mountain areas, carrying the dual functions of recreation, fitness and commute. In the actual operation of the slow running system, a manager needs to grasp the traffic flow state and the environment safety condition along the line in real time, and meanwhile, a user also puts forward higher requirements on road condition information acquisition and cultural content experience. The existing slow-line management mainly depends on a manual inspection or basic video monitoring system. The traditional mode is difficult to quantitatively sense the environment microclimate, the pavement physical state and the people flow density in all directions. For example, when the composite risks such as slippery road surface, reduced visibility or excessive accumulation of personnel in local areas are faced with sudden rainfall, accurate risk assessment and immediate early warning are difficult to perform by combining multi-source data through single-dimension video monitoring, so that obvious hysteresis exists in safety management. In the aspect of information service interaction, static physical signs or single-function electronic display screens are mostly adopted along the current slow-line. The information content released by the facilities is fixed and has low updating frequency, effective connection cannot be established with the mobile terminal of the user, and dynamic path planning or personalized cultural resource recommendation is difficult to provide according to the real-time position and interest preference of the user. The unidirectional and solidified information transmission mode has low information utilization rate, and cannot meet the actual demands of the public on deep tour and convenient navigation. In addition, the slow-line is usually in long-distance banded distribution, and a plurality of areas with complex terrain and ecologically sensitive areas are traversed, so that a perfect municipal power supply network and a wired communication pipe network are often lacking along the line. The existing monitoring equipment generally depends on large-scale civil construction for cable laying, which not only causes high construction cost, but also easily damages surrounding ecological landscapes. Meanwhile, the transmission scheme which is simply dependent on the public cellular network may face the problems of unstable signal coverage or high cost of high-bandwidth traffic flow in a remote road section, and long-term low-power consumption and high-reliability operation of the system are difficult to support. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an intelligent identification and safety early warning system of a slow-going cultural line, which solves the problems that the prior slow-going line lacks the multi-dimensional sensing and intelligent studying and judging capabilities to cause environmental safety risk early warning hysteresis and the traditional static identification facility cannot provide dynamic personalized interaction service. In order to achieve the above purpose, the invention is realized by the following technical scheme: The invention provides an intelligent identification and safety early warning system of a slow-going cultural line, which aims to solve the technical problems of the conventional slow-going system in the aspects of multi-source data transmission efficiency, personalized cultural service and safety early warning response timeliness. The system adopts a layered architecture design and mainly comprises a perception layer, a transmission layer, a platform layer and an application layer. The sensing layer is used as a data acquisition front end of the system and is responsible for acquiring multidimensional data of the line. The layer specifically comprises an environment monitoring sensor, traffic flow and safety monitoring equipment which are deployed along a line, and an intelligent identification terminal which is arranged at a key node. The traffic flow and safety monitoring equipment adopts an integration scheme of a video camera and a millimeter wave radar, and video data, radar