Operational Management and Information System
The port intelligent fleet operation system contains complex operation scenarios and business scenarios. The various data sources and huge volumes business data bring many challenges to the efficient and safe operational safety. The port vehicle operation management and information system manage the operational data and information of the intelligent fleet in whole process, and integrates the port TOS task instructions, cloud control scheduling information, spreader operation information, vehicle operation information and so on to monitor the operation status of the intelligent driving fleet. This system includes the aggregation of original multi-source data, data preprocessing, data conversion combined with business scenarios, basic report generation, thematic specific data analysis and data application service release, etc.
- Data aggregation and preprocessing，eliminating abnormal data, commercializing original data, and improving data quality.
- Providing various data reports and visualization charts to clearly present data.
- Customizing different data panels for user needs, such as providing takeover analysis charts for intelligent driving engineers to improve the effect of intelligent driving, providing task cycle reports for scheduling algorithm engineers to improve scheduling efficiency, providing operation briefings for management and operation personnel to quickly grasp the operation state of the fleet.
By using Hirain own technological advantages，the Hirain cooperate with several ports actively to develop deploy intelligent fleet and operation solution in customer. The operation management and information system collect and combine large amounts of diversified data, evaluates, and analyzes the status and efficiency of the port's intelligent operational system. It also provides data and analysis reports from different perspectives for the on-site operational team, R&D technical team, and decision-making team. It provides input and basis for process improvement in production phase, intelligent fleet scheduling, and iterative improvement of cloud-based vehicle control.