| Pumps are widely used in industry,agriculture,and daily life.However,due to the mismatch between pump characteristics and pipeline characteristics and the lack of real-time and effective intelligent adjustment methods,domestic pump units are generally in an inefficient operation.When a pump's operation efficiency is low,its reliability and service life will decline,which will lead to frequent failures,further affecting the overall economic benefits and even the safety of the production process.In order to ensure the safe and efficient operation of pump units,a remote intelligent monitoring system for pump units is designed and developed independently by fully utilizing the real-time interactive characteristics of the Internet of Things technology and the powerful computing and storage capabilities of the cloud platform.And the improved differential evolution algorithm is mainly used to solve the optimal operating conditions of pump units to realize the remote optimal control of pump units.The research includes the following aspects:(1)The application scenarios and functional requirements of the remote intelligent monitoring system for pump units are discussed,and an overall scheme of the intelligent monitoring system consisting of the monitoring terminal and the control center is designed.The basic principle of the differential evolution algorithm and the improvement of the population initialization and the scale factor are explained.(2)The monitoring terminal,communication mechanism,control center and database of the monitoring system are designed in detail.(3)The MCU program of the monitoring terminal,the back-end and front-end programs of the control center are compiled.And the functions of the monitoring data chart display,fault alarm,user management,optimization calculation and control management modules are realized.The data transmission module of the monitoring system is tested.The test result shows that the monitoring system is stable and reliable,and can meet the expected functional requirements.(4)Taking the parallel pump units as the research object,the strategy part of the differential evolution algorithm is improved.The parallel operation optimization problem of identical variable speed pumps,different types of variable speed pumps and different types of constant speed pumps + variable speed pumps is discussed.The influence of an additional transition pump of a different type on the optimal system efficiency is studied.It is demonstrated that the improved differential evolution algorithm has excellent performance for the operation optimization of the parallel pump units,which proves that the optimization calculation module of the monitoring system can be applied to practical scenarios.(5)For the identical variable speed pumps,the results of the optimal system efficiency are consistent with the theoretical research.For different types of variable speed pumps,with the increase of pump combinations,the difference between the optimal system efficiency calculated by this paper and that calculated by the predecessor gradually increases with the maximum value of 6.26%.For the combinations of different types of constant speed pumps and variable speed pumps,the optimal system efficiency gradually decreases with the reduction of variable speed pumps,but the declining degree can be reduced by adjusting the combination.The result also indicates that an additional transition pump of a different type can expand the efficient operation area of the pumping station.Therefore,adding the transition pump configuration options to the optimization calculation module of the monitoring system can provide new technical support for the performance improvement of parallel pumping station.The system developed in this paper can realize the real-time monitoring and effective remote control of pump units,and perfectly integrate the remote monitoring and intelligent optimization analysis of pump units,which is of great significance for the safe and efficient operation of pump units and energy saving. |
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