Study On Intelligent Management Technology Of Expressway Electromechanical Equipment

The management of electromechanical equipment is an important part of the operation and management of expressways,and plays an important role in ensuring the safety of expressways.This paper aims at the existing lack of monitoring means and evaluation basis for operating conditions in the electromechanical equipment management of highways.It has designed and implemented an intelligent management method for electromechanical equipment of highways.From equipment condition monitoring technology,equipment life prediction methods,and evaluation method of critical equipment running status,the following research work was completed.(1)Condition Monitoring Technology of Expressway Electromechanical EquipmentAccording to the operating environment of electromechanical equipment,vibration,temperature,humidity,and voltage were selected as the monitoring parameters of the equipment.The sampling scheme of each parameter and the multi-sensor data program on a single interface were discussed.Each module of sampling control circuit were designed by using the FPGA hardware and NIOS II software operating environment.Test results show that the monitoring node has achieved the desired results.(2)Method for determining the life of highway electromechanical equipmentThe method for determining the life of traditional electromechanical system equipment is analyzed,including physical life,economic life,and depreciation life.A method for determining the service life of key equipment of electromechanical systems for expressways based on fuzzy comprehensive evaluation method is proposed,and an example for uninterrupted power supply(UPS)is proposed.Equipment life analysis was performed.(3)Evaluation of operating status of key mechanical and electrical equipment on the expresswayAiming at the evaluation of key electromechanical equipment operation status,a corresponding evaluation index system was established,and an AHP-fuzzy comprehensive evaluation model was established;the weight of each indicator was determined by the AHP method,and the index scoring and quantification were performed using the set value statistical method.