Data Collection and Management Platform

Fields of Application

Transportation and water transport

Solution Overview

The data collection and management platform is suitable for various data collection and data extraction scenarios in the water transportation industry. It integrates the advantages of multiple commercial products, supports massive data synchronization, and features a robust fault-tolerant mechanism. The data collection task is visually configured through the interface, making the operation simple.

Solution Highlights

1. Multi-source heterogeneous data source
The platform supports data synchronization between all relational databases, unstructured storage, NoSQL databases, API interfaces, and web pages.
2. Visual configuration mode
The platform transforms the complex task of developing and defining data collection processes into simple configuration work, allowing customers to focus more on data business development.
3.Multi-data synchronization
The platform supports batch (offline) full/incremental synchronization, single table or full library synchronization, and sub-table and sub-library synchronization.
4.Multi-dimensional monitoring mode
The platform supports offline task scheduling across multiple time dimensions. If an issue arises with a task, it will generate an alarm based on user-defined rules.

Business Value

The platform provides management for data sources, task construction, logs, actuators, projects, and users, as well as operational and resource monitoring. In the data collection process, the platform automatically generates the table structures required in the institutional database, collects data within the configuration rules, and automatically verifies the quality of the generated data to meet the needs of mass data migration and incremental data synchronization.

Application Scenarios

1. 1. Data collection and synchronization

The platform supports the synchronization of large volumes of data, efficiently collecting and synchronizing ship operation data to ensure its integrity and accuracy.

1. 2. Data analysis and predictive models

The platform boasts strong data analysis and modeling capabilities, using historical data and machine learning algorithms to analyze and predict ship operation data. This helps optimize ship operation plans and save energy.