# Research and Development of Inland Green and Smart Ship Technologies in China
## 4 Inland Green Smart Test Ship
### Design of a Dynamic Test System  
Based on multiple sensing monitoring methods, such as traditional point sensors, fiber grating sensors, and ship-borne system operating parameter sensors, changes in parameters, such as the key equipment parameters of the ship's smart compartment, image signals, and audio signals of the ship's operating states, are sensed. The distributed temperature, optical grating array fiber-based strain, and vibration sensing are used to obtain a comprehensive recording of the safety and damage of ship cabins, engine rooms, cables, corridors, and other hull structures, and real-time online monitoring of the health of the key equipment of the smart modules.  
In addition to the perception data of external sensors, ship operation data also include real-time readings from the shipboard operation system. There are many types of shipboard smart operation modules, and their core controllers are also different. According to the different controller models and operating system types, a suitable state data reading method is adopted to realize multi-parameter real-time reading of shipborne operating data. A distributed data processing server was established and a rapid data processing system for smart ship data in complex waters was designed. The multi-source heterogeneous data organization method of the distribution differences of various systems was also studied. The effective key information obtained by the ship's smart perception capabilities is extracted to achieve the spatiotemporal registration and standardization of these data. Based on the optimized arrangement of each smart module, the scene knowledge map of the shipboard system is constructed to achieve the rapid integration of the data.  
The operation of ships involves heterogeneous transmission networks, such as perception networks, shipborne data transmission networks, and equipment networks. Transmission networks have heterogeneous characteristics due to differences in the transmission protocols, data capacities, and data types. Based on the heterogeneity of the transmission network in the ship's operation process, a transmission network for the ship was constructed. Based on the characteristics of the ship's operation data, the structure and transmission protocol characteristics of the perception data can be described in the form of data information modules. To realize automatic analysis and access of perception data, adapters were dynamically generated to allow the ship operation process to adapt to and access these data. By combining the characteristics of the ship's operation process data, and through the dimensionality reduction processing of the data, we can perform dynamic aggregation of perception data and integration of smart information in the ship operation process.  
The ocean-river test ship integrates the seven system modules described previously. By dynamically testing the parameter characteristics that each module needs to achieve in independent operation, the safety, reliability, and stability of each module's operation and the achievement of various indicators can be verified. This also allows for the determination of core input-output variables, building of an overall dynamic test system, conduct of joint testing of the multi-module cooperative operation of the smart ship ecosystem, analysis of the coordination of the integration of each smart module, and provision of real-time feedback to the terminal to assist in decision making and correction.