Design Of Intelligent Sensory Control System For Anaerobic Fermentation Process Of Biogas Project

In recent years,global energy has continued to decrease,and biomass energy represented by biogas is gradually moving towards human life.With the development of biomass technology,biological fermentation technology continues to mature,from laboratory to factory,from experiment to application.The following problem is monitoring the performance and working condition of the fermentation device,thereby ensuring that the fermentation environment optimally improves the fermentation efficiency.In this context,the design and research of anaerobic fermentation process monitoring of biogas project is designed in this context.The main research contents of the paper are as follows:(1)The system design is based on the current problems in the anaerobic fermentation process of biogas projects,such as insufficient timeliness,high data loss rate,lack of intelligent data processing methods,and unable to meet the distributed characteristics.Data processing is highly dependent on cloud computing,the network cost is high,etc.,and the biogas anaerobic fermentation process and its main influencing factors are studied.The monitoring parameters of the system are selected as temperature,PH value,liquid level and redox potential.(2)Combined with the functional requirements of the problem analysis system,determine the layout of the monitoring nodes and the selection of sensor equipment.The intelligent sensory control system architecture of the biogas anaerobic fermentation process is designed in accordance with the current general architecture of the Internet of Things,and a hybrid computing method for cloud and fog is proposed for the data transmission and processing of distributed equipment.The in-depth application and development of the monitoring system provides a reference.(3)Design intelligent sensing and control terminal equipment for biogas anaerobic fermentation process based on hybrid computing model of Internet of Things and cloud and fog.The terminal hardware separates the data acquisition unit from the calculation control unit(fog node device),so that the terminal device has a certain computing power for data preprocessing.The terminal software design selects a multi-process and multi-thread mode to improve the system’s working efficiency.At the same time,a lightweight MQTT communication protocol is selected to effectively reduce the delay and improve the timeliness of system transmission and operations.(4)Design a database for system data,use median filtering at the fog computing end to implement preliminary cleaning of the data,remove large abnormal points,and enhance the authenticity of the data.In view of the problems existing in the fixed threshold application in the past,the improved beta distribution on the cloud computing side is used to implement dynamic threshold self-learning.The dynamic threshold is compared with the HP filtered data trend corrected by the parameter balance optimal algorithm to achieve biogas anaerobic.Early warning of fermentation intelligent sensory control system.(5)Design the system client to realize the data visualization and human-computer interaction function in the form of WEB,and display the equipment operation,data online management,alarm conditions,etc.on the client to achieve remote monitoring of the system.Finally,this article tested the designed system.The results show that the system can improve data transmission and computing capabilities,while ensuring system stability.The cloud-fog hybrid computing model solves the problem of poor timeliness of manual analysis and processing of data,reducing server computing,Store pressure.The system realizes the intelligent sensing and control of the anaerobic fermentation process of the biogas project while ensuring the equipment safety,and has a wide application prospect.