海大港口智能安监产品发布：基于孪生管控的港口物流安全监管

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Shanghai Maritime University port logistics digitization and intelligent research team has always been committed to promoting the intelligent development of the port. The team integrates machine vision recognition, digital twin and drone management and control technology to build an intelligent safety supervision and control system, integrates port intelligent identification and space-time twin monitoring UAV intelligent inspection system, realizes the full life cycle intelligent safety monitoring service of advance warning, in-process analysis, and Ex-post facto, and carries out real-time supervision and control of port production. It aims to improve the efficiency and quality of safety production management, prevent and reduce the occurrence of safety accidents.

Among them, the port machine vision series products provide Port Security Identification, Time-space Integration  Unmanned Aerial Vehicle Port Intelligent Inspection System realize "one map" control through the whole life cycle safety supervision, and finally realize the port operation from artificial intelligence recognition perception to cognitive decision-making full coverage.

Figure 1 Platform architecture

Port Security Identification

Port security identification covers the areas of port facilities, ship operations, cargo safety and personnel safety. It supports the monitoring of port operation activities and the prevention of port operation security incidents, improves port emergency response capabilities, and ensures safe and efficient port operations.

Figure 2 Port Security Identification

The recognition algorithm modules developed by the team identify more than 100 million containers a year, the average recognition rate of all modules exceeds 98%, and the recognition rate of some modules is close to 100% (barely identifiable by the human eye).

Detect whether personnel in the port operation area are wearing safety helmets and safety vests. When personnel fail to wear them as required, trigger an alert and notify on-site safety management personnel to intervene, thereby reducing accidents caused by failure to follow safety regulations.

quayside, yard, construction location and other application scenarios.

Figure 3 Personnel Safety Helmet and Safety Vest Identification result

The identification detects behaviors such as not wearing safety ropes during shipboard operation and gives early warning to improve the level of ship safety operation.

Figure 4 Ship Operation Safety Rope Detection result

The identification identifies whether there are foreign Bodies or personnel on the track of equipment such as quay crane and yard crane, and gives early warning in advance to provide guarantee for the safe operation of port equipment.

Figure 5 Track Foreign Body Identification result

The identification detects the speed of port vehicles, gives early warning to speeding vehicles, and prevents and reduces operational accidents caused by speeding vehicles.

Figure 6 Vehicle Speed Detection result

The identification checks in real time whether there are problems such as tilting or damage in the yard container, providing support for the safety management of the yard, risk assessment and storage optimization.

Figure 7 Yard Stacking Inspection result

The identification automatically identifies the incorrect banding or fixing of the storage yard, and supports checking whether the storage yard is banding before the arrival of the typhoon to avoid the displacement, collapse or damage of the goods during the storage process, resulting in safety accidents and property losses.

Figure 8 Yard Banding Inspection result

The identification identifies the personnel present in the high-risk areas of the port, and gives early warning information to avoid production accidents in these areas.

Figure 9 Personnel Identification in Dangerous Areas

Website:  http://47.103.112.75:8501?locale=en-US

User name: cv_test1

Password: 123456

Time-space Integration  Unmanned Aerial Vehicle Port Intelligent Inspection System

Integrating UAV control, machine vision and digital twin technology, the team developed the intelligent inspection system of port intelligent identification and space-time twin monitoring UAV, and realized the full life cycle inspection of pre-warning, in-process analysis and post-event backtracking.

核心系列||为港口插上双翼—海大咪啰无人机港口智慧巡检系统

The team built a port safety management and operation early warning and monitoring system to realize real-time dynamic display of production equipment status and alarm information, real-time dynamic tracking of the whole operation process of dangerous goods, real-time monitoring of port safety production and operation, and intelligent judgment of potential risks.

Figure 10 Regional temperature anomaly warning(Sample)

The self-developed UAV control APP intelligently sets the optimal inspection path of the UAV, realizes the dynamic cruise management of the UAV, real-time video data return and historical inspection task backtracking, and solves the problems of high risk of personnel working at altitude and high cost of manual inspection.

Figure 11 Set the UAV inspection path(Sample)

Comprehensively collect and store port IoT real-time data and early warning information, integrate the twin platforms to accurately reproduce the historical operating environment and risk situation, identify bottlenecks and deficiencies in operations, so as to find potential problems and optimize future security management and control strategies.

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