Background: Power distribution Internet of Things is a smart service system in which
traditional distribution networks comprehensively apply modern computing technologies, such as
cloud computing, mobile Internet of Things, and big data to realize the interconnection of all things
in the power system and human-computer interaction. In the power distribution Internet of Things,
there are many types of main power distribution equipment, and each type of power distribution
equipment is connected with multiple sensor devices. These sensor devices play an important role
in the smooth operation of the power distribution Internet of Things, so it is necessary to build a reliability
evaluation system for these sensor devices.
Objectives: The objective was to evaluate the reliability of the sensor device connected to the main
equipment in the power distribution Internet of Things.
Methods: Firstly, the G1-CV method (entropy weight method-coefficient of variation method) is
used to construct the initial evaluation index system, and the comprehensive weight of each index
is determined and ranked. Then the improved TriMap algorithm (ITriMap) is used to reduce the
high-dimensional complex index system.
Results: Simulation verification results show that the algorithm has a smaller reconstruction error
than traditional dimensionality reduction algorithms such as t-SNE, Largr-Vias, UMAP, etc. The
reduced index can scientifically and objectively measure the main equipment sensors of the power
Conclusion: An index reduction method based on the ITriMap algorithm is proposed to evaluate
the reliability of sensors. Experimental results show that this algorithm greatly reduces the reconstruction
error compared to other traditional methods.
Discussion: In the future, on the basis of this article, we intend to construct a sensor reliability
evaluation model for the main equipment of the power distribution Internet of Things using the 5-
dimensional features after dimensionality reduction as input.