Intelligent control method of a ventilation and air conditioning system of a rail transit station based on passenger flow

Abstract

The invention provides an intelligent control method of a ventilation and air conditioning system of a rail transit station based on passenger flow. The method comprises the following steps: determining a research station, acquiring station basic data, station historical passenger flow and train data and historical meteorological data; according to the theoretical calculation method of the ventilation and air conditioning system load, the theoretical calculation value of the ventilation and air conditioning system load is obtained by using the known data. The load calculation model of ventilation and air-conditioning system based on dynamic passenger flow is constructed. The short-term forecast load of ventilation and air-conditioning system is calculated according to the model. The control strategy of ventilation and air-conditioning system is formulated, and the intelligent control method of station ventilation and air-conditioning system based on predictive control and time-varyingpassenger flow characteristics is proposed. The invention obtains passenger flow data in a short time in the future by using passenger flow prediction and passenger flow simulation technology, therebycalculating the system predicted load in a short time in the future according to the constructed model, so that the station ventilation and air conditioning control system can deal with the temperature fluctuation in the station in the short time in the future in advance.

Description

technical field [0001] The invention relates to the field of rail transit, in particular to an intelligent control method for a ventilation and air-conditioning system of a rail transit station based on passenger flow. Background technique [0002] As the level of economic development increases, the process of urbanization continues to accelerate, and the scale of cities further expands, the demand for transportation also increases rapidly. The contradiction between urban transportation demand and supply has become a widespread problem. Compared with urban road traffic, urban rail transit has the advantages of safety, comfort, fast environmental protection, and large transport capacity. Every city vigorously develops urban rail transit to relieve the pressure on urban road traffic. However, urban rail transit system is a large energy-consuming household in a city. High energy consumption has become one of the important reasons hindering the development of urban rail transit,...

AI Technical Summary

Problems solved by technology

Although the system automatically adjusts the cooling capacity and fresh air volume gear to make the actual temperature tend to the control temperature, the actual temperature change lags behind the cooling capacity and fresh air volume gear adjustment, and even lags behind the passenger flow change

[0009] Second, the cooling capacity and fresh air volume are limited in number

For example, if the current temperature is higher than the control temperature and the maximum cooling capacity gear has been adopted, or the current temperature is lower than the control temperature and the minimum cooling capacity gear has been adopted, the system cannot adjust

Especially in the initial period of operation and during the peak hours, the passenger flow is small and the heat production is low. Even if the minimum gear is used, the actual temperature is lower than the control temperature, which may easily cause discomfort reactions of some passengers.

In addition, a small change in the temperature in the station may cause a change in the cooling capacity gear, which in turn causes a change in the temperature

During periods of large passenger flow changes, temperature fluctuations are large, and passengers often experience drastic changes in ambient temperature many times during an urban rail transit trip, which affects passengers' travel experience

[0010] Third, the closed-loop control is easily affected by the position, height and accuracy of the temperature probe

If the prediction accuracy of long-term passenger flow density is low, it will be difficult to ensure the optimal operation mode of the ventilation and air-conditioning system of the station, and it is also difficult to ensure the comfort of the station

[0014] Second, the open-loop control does not consider the temperature change in the station during actual operation during the set operation time, but the heat production increases with the operation of the system. Due to the complexity of the subway thermal system, it is not sensitive to thermal environment changes low predictive accuracy

[0015] Third, the open-loop control is a static control, and the passenger flow density prediction method used only considers the regular passenger flow, not the sudden passenger flow

If the unplanned passenger flow hits the station in a short period of time, and the ventilation and air conditioning system of the station lacks contingency, it may cause a sharp rise in temperature and seriously affect the comfort of the station

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