Research On Core Sensing Application Oriented To Power Internet Of Things

With the development of social economy,emerging technologies represented by cloud computing,big data,and the Internet of Things are gradually being applied in more and more fields.The informatization construction of power grid companies has also entered a new stage,and core sensing is truly supported by the link Transformed into a value creation link.At the same time,in response to the national strategy of"integration of industrialization and industrialization",the application of core sensing equipment,as the next possible new growth point for grid companies,can accelerate the research on core sensing technology and expand the application range of core sensing equipment.,Which is conducive to power grid companies to carry out technological innovation business and master core technology.With the reform of state-owned enterprises entering the deep water zone and the goal of "carbon neutrality" on the agenda,the international situation is becoming more and more changeable.It is necessary to speed up the informatization construction of the power grid monitoring system,develop core technologies,and establish a complete set of power Internet of Things core transmission systems.The sensor monitoring system provides support for the informatization construction of the power grid.Device environment perception through multiple sensors such as temperature,humidity,deformation,etc.is the basis for the real-time,accurate and reliable collection of information in the power Internet of Things.At present,sensors in the power field have problems such as single function,complex structure,bulky size,and excessive power consumption.,Is not conducive to the construction of power Internet of Things.In view of this situation,this paper firstly analyzes the application of multi-dimensional core sensing technology in substation Internet of Things theoretically.Starting from the characteristics of electric power field environment,the demand of multi-parameter comprehensive monitoring of electric power equipment is analyzed.The conclusion that the core sensor is suitable for the on-site monitoring of substation equipment is drawn from the comparison of the three main sensors at present.The platform design and equipment composition of the security monitoring system are studied,and the data fusion and hybrid collaborative networking schemes of the power Internet of Things are presented respectively.The feasibility of multi-dimensional core sensors used for monitoring substation equipment is demonstrated.Then,the communication requirements of the power core sensor system are analyzed,and the architecture design of the multi-source core sensor system for the power Internet of Things is completed.Then,the deployment scenarios of the three core sensors in the power physical network are specifically analyzed,and the corresponding design and research of the deployment of the core sensors are made based on the scene analysis results.The environmental characteristics of power Internet of Things sensor system under substation scenario are analyzed,the advantages and disadvantages of various networking algorithms are compared,and LEACH algorithm is selected as the basic algorithm of substation sensor node networking.Finally,the energy consumption of nodes is reduced and the speed of network networking is accelerated through the improved LEACH algorithm based on the transformer substation.The simulation results show that the improved LEACH optimizes the network transmission performance.Set up for substation scenarios power iot variance estimation of weighted bayesian data fusion model,first has carried on the fuzzy bayesian monitoring data fusion architecture design,data classification is proposed based on multi-source information and bayesian estimation data fusion scheme,through the power of things equipment sensor characteristics and adaptation of multi-source information fusion research,The improvement of weighted fusion algorithm based on variance estimation is established,the technical index design of substation equipment safety status evaluation is set up,the component grading of the status is carried out,the construction of power equipment safety status evaluation model based on data fusion is completed,and the effectiveness of the algorithm is verified through simulation.