Research On Farmland Environment Monitoring System Based On Trust Evaluation Of Perceived Sources

In agricultural production,farmland environmental factors such as soil temperature,humidity and illumination intensity have a great impact on the yield and quality of crops.Therefore,timely acquisition of farmland environmental data and real-time monitoring are important guarantees for the realization of agricultural intelligent management.However,the farmland sensing equipment is often unattended or placed in harsh environment,which contributes to aging and corrosion of equipment,let alone some factors from humans and livestock,so it is hard to collect exact data.It is no doubt that carrying out intelligent management of agriculture with inaccurate data is harmful.This paper focuses on the evaluation of the credibility of the sensing source to make the research of the farmland environment monitoring system,which is of great practical significance.This paper studies the trust evaluation of perceived source data,and proposes a credibility evaluation model for perceived source data of the internet of things,which evaluates the credibility of perceived source data from multiple dimensions,such as direct trust value,supervision trust value,peer recommendation trust value,energy trust value,and historical trust value.The state of sensing equipment(abnormal or normal)is judged by the credibility of source data,which is characterized by simple algorithm,low energy consumption and dynamic expansion.This model takes energy as one of the important evaluation factors of the trust value of the perception source,which is in line with the actual situation that it is difficult for the sensing equipment to replenish energy when working in the field for a long time.Based on this,in this paper,the existing internet of equipment resource description model is expanded,designed to support the credibility evaluation of sensors resource description model,the attribute class,state class,privacy class,historical information class and trust degree class of farmland sensing device for multiple dimensions such as uniform resource description,effective shielding the heterogeneity between farmland sensing devices.At the same time,through the comparison and analysis of cross-platform data transmission technology XML and JSON,lightweight JSON technology is selected to solve the problem of cross-platform data transmission,and then a description file of temperature,humidity and light sensor based on JSON is designed.Finally,on the basis of the above theoretical research results,a farmland environmental monitoring system based on perceptual source trust assessment is designed and implemented.STM32F103C8T6 is used to evaluate the credibility of the collected data,and the identified credible environmental data(temperature,humidity,light)is sent to the upper computer.For inaccurate data,locate the fault sensing device and send an alarm through the system.The upper computer will store the JSON format data in the database after parsing.System administrators and common users can acquire farm environment data in time,and also grasp the fault situation of sensing equipment.