Research On Remote Monitoring Technology Of Small Ground Source Heat Pump Unit

As a renewable energy source,geothermal resources have become one of the important pillar energy sources to alleviate the energy shortage.Ground source heat pump technology is one of the more energy-efficient new energy technologies.It can get more internal energy with less electric energy.Therefore,the use of heat pump units is becoming more and more common.The monitoring performance of ground source heat pump units directly affects the degree of energy conservation.In recent years,the monitoring of heat pump units has increasingly focused on the improvement of control accuracy and work performance.However,the ground source heat pump unit still needs great improvement in terms of automation,intelligence and energy saving.Based on the above analysis,based on the remote monitoring of traditional ground source heat pump units,this paper studies the remote monitoring technology of heat pump units from the aspects of signal noise reduction and temperature control.First,the current development status of the heat pump unit,the wireless signal transmission method,the noise processing method and the control method are analyzed.Then,according to the working principle of the heat pump unit,a model of the heat pump unit is established.By analyzing the main monitoring points of remote monitoring,the research on the corresponding control algorithms are determined.The energy saving performance of variable flow temperature control is demonstrated,and the technical requirements of remote monitoring are analyzed.Then,considering the interference of the working environment and the intelligent needs of the control method,a monitoring hardware design method using a PLC controller combined with an STM32 single-chip microcomputer was adopted.The STM32 mainly performs signal noise reduction processing and transmission and reception of Wi Fi signals.Then,the wavelet threshold,EMD,EEMD and other noise reduction principles are analyzed,and the wavelet threshold function is improved.A signal processing method based on improved wavelet threshold combined with EEMD noise reduction is proposed.And applied to the noise reduction experiments of the shaft of the heat pump unit and the valve signals of the compressor,and achieved good experimental results.Finally,the PID control principle,neural network PID control and particle swarm algorithm are analyzed.Aiming at the deficiency of each control theory,a PID control method based on improved particle swarm optimization radial basis neural network was proposed.The MATLAB software is used to simulate and analyze the improved neural network PID temperature control.Experimental results show that the method has high stability and robustness under normal working conditions and interference.The above research content is applied to the test by establishing a remote test test monitoring platform.PLC and touch screen are used to construct the field control terminal and human-computer interaction interface.Use Kingview software for remote monitoring interface design.From the monitoring interface,you can query the working status of each unit of the unit.From the main interface data,you can directly understand the valve,shaft vibration signal,and flow changes.The system test has a good performance effect,which proves that this technical scheme has certain engineering practical value.