资产健康管理 (AHM)

A modern locomotive, for example, has as many as 200 sensors generating more than a billion data points per second. Vibration sensors surround critical components, video cameras scan the track and cab, while other sensors monitor RPM, power, temperature, the fuel mix, exhaust characteristics, and more.Most of today’s locomotives lack sufficient on-board processing power to make full use of all this data. To make matters worse, the data from different subsystems, such as the brakes, fuel system, and engine, remain separate, stored in isolated “boxes” that prevent unified analysis. The data is available, but the technology needed to process it in the most effective manner is not. As new sensors are added to the machine, the problem escalates.

Prior to 1990, most Danish electric power was produced at large, centralized generation plants from which it was transmitted and distributed to commercial, industrial, and residential consumers. Since then, thousands of distributed generators have been added such that the installed generation capacity at the distribution level exceeds the generation capacity at the transmission level. The distributed generation (DG) assets include dispersed combined heat and power (CHP) plants and wind turbines, creating a “carpet” of generation at the low and medium voltage levels of the distribution system (see inset). These distributed resources provide renewable and flexible energy production and support local thermal heating loads but were designed to operate only while grid-connected and could not be used in the case of a major power outage. The high penetration of variable wind generation also created the situation where the transmission system had to balance all the local variability of wind (both real and reactive power).

Veolia Water had a pressing need to implement a monitoring and control system that could replace their centralized control facility.