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Smart Port｜ Corerain x The Port under Shandong Port Group Company

Home> Cases>The Port under Shandong Port Group Company
Introduction Challenges Solutions Results
Introduction

The port company is an important port under Shandong Port Group Company. The port facilitates an efficient transportation with sea routes reaching all ports in the world; with 2 railroads of more than 1,000 kilometers, 3 highways and 5 oil pipelines going straight to the port, it is a comprehensive transportation hub integrating various ways and high efficiency and convenience.


Challenges
Large Blind Area in the Port
Large Blind Area in the Port
There are many blind spots due to the wide area of the port. Safety supervision staff is responsible for hundreds / thousands of cameras and 24-hour supervision is not feasible.
Reliance on artificial Control
Reliance on artificial Control
Supervision and implementation of rules and regulations mainly rely on a few staffs with traditional safety management means instead of advanced technology.
Solutions

The qualification review of personnel involved in fire work is carried out based on Corerain's AI video analysis technology. The operation will be supervised with the approval process, personnel qualification and labor protection under inspection throughout the fire operation process after qualification review.

Results
建立起人员、环境、设备的安全监管系统，发现安全隐患实时报警，实现了对现场作业风险和人员违规行为的有效监管，提高安全生产管理效率。
AI video intelligent analysis platform is built to transform from manpower supervision mode to efficient and accurate intelligent supervision mode.
The project has been in normal operation for more than 400 days. The integrated design scheme has reduced infrastructure renovation investment, enabled rapid implementation and significantly shortened the delivery cycle. By building a closed park comprehensive management system integrating query, positioning, management and analysis, it helps the chemical plant's technological transformation and upgrading and realizes cost reduction and efficiency increase.
Whole-process supervision of fire operation is realized to reduce the possibility of port safety accidents and improve the safety management capability.
Relevant Cases
Sinopec
Smart Oilfield
Sinopec
An all-round 7*24 AI video analytics system for oilfield operations is established to improve safety management, with real-time analysis of 300 channels of videos at oil fields through Corerain's artificial intelligence video analysis platform and recognition...
The Research Institute in Shandong
Smart Park
The Research Institute in Shandong
Corerain AI video analysis platform realizes the functions of visitors management, recognition of smoking, personnel wandering, personnel falling down, and passenger flow counting, all-day warning alert in seconds, and quick positioning of problem floors.The platform accurately identifies the flow direction of people, provides intelligent operation and management with visual basis for decision-making, improving the security performance and management efficiency of the park.
The Communication Business Hall in Shandong
Smart Business Hall
The Communication Business Hall in Shandong
Based on the existing video analysis program in the business hall to carry out intelligent upgrade, Corerain's solutions achieve passenger flow counting, sleep-during-duty recognition, smoke and fire warning and other intelligent identification functions to guarantee the controllable upgrade costs while significantly improving management efficiency.
大型钢铁集团
Smart Metallurgy
The Large Steel Group
Through Corerain's video system to acheive smart upgrade, combined with deep learning algorithms, it identifies equipment operating status and gives warning of potential accidents, and makes centralized visualization of safety supervision for the key areas within the plant, improving the intelligent management level and reducing the incidence of accidents with technical assurance.
The National Mining Group
Smart Mining
The National Mining Group
Corerain uses image recognition algorithm technology based on deep learning to detect scenarios such as mixed human and machine operations in the production process, intrusion of people around the earth-discharge vehicles and cracks occurring on the ground in real time, and to link the sound and light alarms on site for real-time warning to realize supervision automation and guarantee the safety of the production process.

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