Intelligent Management And Control System For Operational Ventilation In Highway Tunnels

Ventilation is an important technical means to achieve design standards of tunnel safety,hygiene and comfort,and the tunnel ventilation scheme is determined under the most unfavorable working conditions in line with the original design intention of disaster prevention and mitigation,but the solidified ventilation method and unreasonable control method in the operation stage cause serious waste of energy.How to reasonably control the ventilation scale and reduce the ventilation energy consumption under the premise of ensuring operational safety has become an urgent control technical problem to be solved in the whole life cycle of extralong highway tunnels.In view of this,this paper uses a combination of theoretical analysis,numerical calculation and case analysis to carry out a systematic study on the operational safety and energy saving of extra-long highway tunnels,and the main research results are as follows:(1)A dynamic regulation and energy-saving control method of highway tunnel operation ventilation integrating traffic operation data and tunnel monitoring data is proposed.The increase of traffic volume and pollutant concentration is predicted by vehicle types,the air volume demand is put out through the air demand calculation model,the tunnel operation status is graded according to the air demand,and the air demand of each operation level is substituted into the pressure balance model to calculate the ventilation control scheme to achieve the purpose of "on-demand ventilation".Taking the west route of Qinling Zhongnanshan Highway Tunnel as an example,this method can save energy consumption by 9.31% and reduce the frequency of fan start and stop by 51.82%.(2)An environment perception system for highway tunnels is designed and developed.High-precision sensors measuring pollutant concentration,temperature and pressure,visibility,and wind speed and direction are arranged and integrated in a tunnel.An STM32 microprocessor is adopted for real-time monitoring of environmental data,and a 4G mobile communication network is used for remote data transmission,realizing the cloud storage and real-time display of the tunnel environment monitoring data.Compared with various special detectors,this system has the advantages of high integration,high accuracy and good stability,which can provide measured data support for comprehensive evaluation of tunnel air quality and dynamic adjustment of fan operation.(3)A set of intelligent management and control platform for highway tunnel operation ventilation is built.The Spring+Spring MVC+My Batis framework is used to build an intelligent management and control platform for highway tunnel operation ventilation,providing functions such as operation data display,ventilation control platform and energy consumption analysis,and providing a visual platform for tunnel ventilation adaptive control under different traffic volumes in daily operation.The dynamic regulation and energy-saving control method of operational ventilation proposed in this paper determines the real-time air volume of tunnel operations according to the emission rate of pollutants and traffic volume of different vehicle types.While ensuring tunnel operation safety,it achieves reasonable division of tunnel operation status and energysaving operation of ventilation facilities,providing key technical support for building a safe,energy-saving,and intelligent ventilation control system for highway tunnel operation,which can also provide a reference for designing intelligent tunnel ventilation control schemes and optimizing the intelligent management of special highway tunnels in the future.