A method of dynamically controlling a fluid network using a supervision module, said method comprising: - a so-called operation prediction step, comprising the generation of prediction data relating to the operation of the said fluid network over a period, referred to as an operation prediction period, the operation prediction period preferably being greater than an operation prediction period threshold, the said operation prediction stage implementing quality models comprising at least one bacteriological quality model for the natural environment and a hydraulic model receiving data, the quality models and the hydraulic model receiving data, referred to as model data, said model data comprising at least: - "Terrain" measurement data comprising level measurements on a terrain that may affect or be affected by the fluid network. - metrological data relating to the state of a piece of metrological equipment in the said fluid network, the said metrological data being generated during a step known as metrological data generation, - meteorological data relating to a weather forecast affecting the said fluid network, the said meteorological data being generated during a step known as weather forecast generation, the said meteorological data describing a weather forecast over a period of time known as the weather forecast period, - other data likely to affect the fluid network including data relating to terrestrial bacteriological flows from river(s), the said operation prediction step also including a step of on-line calibration of said hydraulic model on the basis of said metrological data, - a control strategy selection step, comprising selection of a control strategy for the said fluid network on the basis of the data received by the quality models and the hydraulic model, - a step, referred to as setpoint generation, comprising generation of a control setpoint for an actuator of a control body of the said fluid network, on the basis of the said selected control strategy, the said metrological data, the said meteorological data and the said forecast data, - transmission of the control setpoint to the said actuator. - a so-called operation prediction step, comprising the generation of prediction data relating to the operation of the said fluid network over a period, referred to as an operation prediction period, the operation prediction period preferably being greater than an operation prediction period threshold, the said operation prediction stage implementing quality models comprising at least one bacteriological quality model for the natural environment and a hydraulic model receiving data, the quality models and the hydraulic model receiving data, referred to as model data, said model data comprising at least: - "Terrain" measurement data comprising level measurements on a terrain that may affect or be affected by the fluid network. - metrological data relating to the state of a piece of metrological equipment in the said fluid network, the said metrological data being generated during a step known as metrological data generation, - meteorological data relating to a weather forecast affecting the said fluid network, the said meteorological data being generated during a step known as weather forecast generation, the said meteorological data describing a weather forecast over a period of time known as the weather forecast period, - other data likely to affect the fluid network including data relating to terrestrial bacteriological flows from river(s), the said operation prediction step also including a step of on-line calibration of said hydraulic model on the basis of said metrological data, - a control strategy selection step, comprising selection of a control strategy for the said fluid network on the basis of the data received by the quality models and the hydraulic model, - a step, referred to as setpoint generation, comprising generation of a control setpoint for an actuator of a control body of the said fluid network, on the basis of the said selected control strategy, the said metrological data, the said meteorological data and the said forecast data, - transmission of the control setpoint to the said actuator. - "Terrain" measurement data comprising level measurements on a terrain that may affect or be affected by the fluid network. - metrological data relating to the state of a piece of metrological equipment in the said fluid network, the said metrological data being generated during a step known as metrological data generation, - meteorological data relating to a weather forecast affecting the said fluid network, the said meteorological data being generated during a step known as weather forecast generation, the said meteorological data describing a weather forecast over a period of time known as the weather forecast period, - other data likely to affect the fluid network including data relating to terrestrial bacteriological flows from river(s), the said operation prediction step also including a step of on-line calibration of said hydraulic model on the basis of said metrological data, - a control strategy selection step, comprising selection of a control strategy for the said fluid network on the basis of the data received by the quality models and the hydraulic model, - a step, referred to as setpoint generation, comprising generation of a control setpoint for an actuator of a control body of the said fluid network, on the basis of the said selected control strategy, the said metrological data, the said meteorological data and the said forecast data, - transmission of the control setpoint to the said actuator.