[PERSON], [PERSON] used a systematic mapping approach to analyze data collected, transmitted and stored on the Internet, using an edge computing approach to handle data sent near smart grid information sources; they also analyzed attenuated data latency [13]. [PERSON] studied a three-coil wireless power supply system to solve the problem of the power supply for sensors, thus ensuring stability and effectiveness [14]. [PERSON] used a power supply with an information-energy conversion circuit with limited simulation to investigate the energy harvesting capability that can be used for high-voltage transmission line condition monitoring [15]. In addition, [16] investigated an intelligent distribution network transmission line condition data collection and communication system that is distinct from the traditional transmission line condition monitoring data collection. Others [17] have proposed an efficient, uncompressed algorithm for sensing data combining wavelet compression, and a neighborhood exponential sequence algorithm, which alleviate the data accumulation problem of a high-voltage transmission line condition system and achieves optimization of the system. studied A long-term online monitoring system was studied [18] that can solve the condition monitoring of transmission lines in remote areas and obtained three monitoring periods for low-power wide area networks with a multi-objective particle swarm optimization algorithm that is suitable for the working mode in remote areas. Research by [19] presented an energy-efficient geographic routing protocol (EGRPM) which is suitable for wireless sensor networks with mobile sinks. EGRPM uses geographical information to partition networks into several cells, each of which could utilize single-hop or multi-hop communication with mobile sinks. Mobile sinks use a particular movement pattern to cover the network cells. This model uses a scheduling mechanism to determine the rest time of sinks. Research conducted by [20] introduced a deployment scheme for green IoT. This model utilizes a hierarchical structure for deploying devices in IoT. This research modeled the green IoT as an optimization problem and presented a clustering and Steiner tree-based approach, named MECA, to solve this problem. In [21], an energy-efficient routing strategy for data dissemination (EEDD) was proposed which is suitable for wireless networks. This model operates with UAVs. In EEDD, the nature-inspired approach has been used for determining suitable routes between nodes and UAVs. This paper integrates IoT technology and a smart grid to build an electric power IoT architecture. The contributions of the current research are as follows:  
* This research proposes an electric power IoT architecture which combines intelligent sensing technology with wireless communication and other IoT technologies. This model optimizes channel data collection technology and utilizes an orthogonal discrete multi-wavelet transform-based algorithm of edge computing technology to collect and processes high-voltage transmission line condition data from the smart grid. * This research designs an integrated intelligent sensing terminal with multiple parameters, and forms a complete intelligent condition monitoring system. It primarily studies technologies related to the status of high-voltage transmission lines, transmission line online monitoring categories, hardware design, communication network design of online monitoring systems, and some communication technologies involved in transmission line monitoring. * This research proposes a networking scheme that can be applied to the online monitoring of transmission lines and the design of the transmission line condition monitoring system based on a C/S multilayer framework. * Simulation experiments and tests are conducted to verify the performance of the algorithm and the performance of the system in terms of state measurement and communication to verify the feasibility of the monitoring system.