An advanced stress monitoring system was developed. This incorporated a means of entering loading instrument data for the first time, so that the major problem of bulk carriers breaking their backs during loading can be avoided. Information from the various sensors was displayed on a bridge console, and also on a PC in the cargo control room. Considerable work was done on finite element analysis (on transfer functions from the gauges to the bottom of the hull), and on data mining.
Losses of tankers and bulk carriers have been increasing dramatically, causing loss of crew, cargo and sever damage to the environment. One major cause is poor structural integrity of ship hulls due to lack of suitable monitoring devices and inadequate surveying.
The objective of SHIP is to develop an automatic system for assessing and managing real time operational stress upon ships' structures and their cargo.
Some elements for a scientifically based operational and maintenance strategy exist separately. SHIP will develop new monitoring devices (for corrosion and hull deformation) and produce an integrated, computer aided system. Advanced software techniques (Knowledge Mining and Expert Systems) will be created to provide intelligent interpretation of data.
Two systems will be developed: one for on board real time monitoring and one shore based to assist with maintenance planning. They will combine sophisticated new monitors with artificial intelligence programming to provide information quickly, accurately enabling pro-active ship management, control and maintenance.
The utilisation of the system will lead to reduced environmental danger, improved vessel safety, reduced cargo damage and a substantial economic benefit.
Funding SchemeCSC - Cost-sharing contracts